Overview

Dataset statistics

Number of variables178
Number of observations5566
Missing cells216465
Missing cells (%)21.8%
Total size in memory7.6 MiB
Average record size in memory1.4 KiB

Variable types

Numeric171
Categorical7

Alerts

Matches has constant value "Matches"Constant
Player has a high cardinality: 5202 distinct valuesHigh cardinality
Nation has a high cardinality: 135 distinct valuesHigh cardinality
Squad has a high cardinality: 194 distinct valuesHigh cardinality
xG has 480 (8.6%) missing valuesMissing
npxG has 480 (8.6%) missing valuesMissing
xAG has 480 (8.6%) missing valuesMissing
npxG+xAG has 480 (8.6%) missing valuesMissing
PrgC has 480 (8.6%) missing valuesMissing
PrgP has 480 (8.6%) missing valuesMissing
PrgR has 480 (8.6%) missing valuesMissing
xG.1 has 480 (8.6%) missing valuesMissing
xAG.1 has 480 (8.6%) missing valuesMissing
xG+xAG has 480 (8.6%) missing valuesMissing
npxG.1 has 480 (8.6%) missing valuesMissing
npxG+xAG.1 has 480 (8.6%) missing valuesMissing
Sh has 468 (8.4%) missing valuesMissing
SoT has 468 (8.4%) missing valuesMissing
SoT% has 1358 (24.4%) missing valuesMissing
Sh/90 has 468 (8.4%) missing valuesMissing
SoT/90 has 468 (8.4%) missing valuesMissing
G/Sh has 1358 (24.4%) missing valuesMissing
G/SoT has 1989 (35.7%) missing valuesMissing
Dist has 1369 (24.6%) missing valuesMissing
FK has 480 (8.6%) missing valuesMissing
npxG/Sh has 1369 (24.6%) missing valuesMissing
G-xG has 480 (8.6%) missing valuesMissing
np:G-xG has 480 (8.6%) missing valuesMissing
Cmp has 480 (8.6%) missing valuesMissing
Att has 480 (8.6%) missing valuesMissing
Cmp% has 510 (9.2%) missing valuesMissing
TotDist has 480 (8.6%) missing valuesMissing
PrgDist has 480 (8.6%) missing valuesMissing
Cmp.1 has 480 (8.6%) missing valuesMissing
Att.1 has 480 (8.6%) missing valuesMissing
Cmp%.1 has 559 (10.0%) missing valuesMissing
Cmp.2 has 480 (8.6%) missing valuesMissing
Att.2 has 480 (8.6%) missing valuesMissing
Cmp%.2 has 564 (10.1%) missing valuesMissing
Cmp.3 has 480 (8.6%) missing valuesMissing
Att.3 has 480 (8.6%) missing valuesMissing
Cmp%.3 has 728 (13.1%) missing valuesMissing
xA has 480 (8.6%) missing valuesMissing
A-xAG has 480 (8.6%) missing valuesMissing
KP has 480 (8.6%) missing valuesMissing
1/3 has 480 (8.6%) missing valuesMissing
PPA has 480 (8.6%) missing valuesMissing
CrsPA has 480 (8.6%) missing valuesMissing
SCA has 480 (8.6%) missing valuesMissing
SCA90 has 480 (8.6%) missing valuesMissing
PassLive has 480 (8.6%) missing valuesMissing
PassDead has 480 (8.6%) missing valuesMissing
TO has 480 (8.6%) missing valuesMissing
Fld has 480 (8.6%) missing valuesMissing
Def has 480 (8.6%) missing valuesMissing
GCA has 480 (8.6%) missing valuesMissing
GCA90 has 480 (8.6%) missing valuesMissing
PassLive.1 has 480 (8.6%) missing valuesMissing
PassDead.1 has 480 (8.6%) missing valuesMissing
TO.1 has 480 (8.6%) missing valuesMissing
Sh.1 has 480 (8.6%) missing valuesMissing
Fld.1 has 480 (8.6%) missing valuesMissing
Def.1 has 480 (8.6%) missing valuesMissing
Tkl has 480 (8.6%) missing valuesMissing
TklW has 468 (8.4%) missing valuesMissing
Def 3rd has 480 (8.6%) missing valuesMissing
Mid 3rd has 480 (8.6%) missing valuesMissing
Att 3rd has 480 (8.6%) missing valuesMissing
Tkl.1 has 480 (8.6%) missing valuesMissing
Tkl% has 1051 (18.9%) missing valuesMissing
Lost has 480 (8.6%) missing valuesMissing
Blocks has 480 (8.6%) missing valuesMissing
Pass has 480 (8.6%) missing valuesMissing
Int has 468 (8.4%) missing valuesMissing
Tkl+Int has 480 (8.6%) missing valuesMissing
Clr has 480 (8.6%) missing valuesMissing
Err has 480 (8.6%) missing valuesMissing
Touches has 480 (8.6%) missing valuesMissing
Def Pen has 480 (8.6%) missing valuesMissing
Att Pen has 480 (8.6%) missing valuesMissing
Live has 480 (8.6%) missing valuesMissing
Succ has 480 (8.6%) missing valuesMissing
Succ% has 1287 (23.1%) missing valuesMissing
Tkld has 480 (8.6%) missing valuesMissing
Tkld% has 1287 (23.1%) missing valuesMissing
Carries has 480 (8.6%) missing valuesMissing
CPA has 480 (8.6%) missing valuesMissing
Mis has 480 (8.6%) missing valuesMissing
Dis has 480 (8.6%) missing valuesMissing
Rec has 480 (8.6%) missing valuesMissing
Fls has 468 (8.4%) missing valuesMissing
Off has 468 (8.4%) missing valuesMissing
Crs has 468 (8.4%) missing valuesMissing
PKwon has 476 (8.6%) missing valuesMissing
PKcon has 476 (8.6%) missing valuesMissing
Recov has 480 (8.6%) missing valuesMissing
Won has 480 (8.6%) missing valuesMissing
Won% has 770 (13.8%) missing valuesMissing
GA has 5143 (92.4%) missing valuesMissing
GA90 has 5146 (92.5%) missing valuesMissing
SoTA has 5171 (92.9%) missing valuesMissing
Saves has 5171 (92.9%) missing valuesMissing
Save% has 5176 (93.0%) missing valuesMissing
W has 5143 (92.4%) missing valuesMissing
D has 5146 (92.5%) missing valuesMissing
L has 5146 (92.5%) missing valuesMissing
CS has 5146 (92.5%) missing valuesMissing
CS% has 5162 (92.7%) missing valuesMissing
PKA has 5146 (92.5%) missing valuesMissing
PKsv has 5146 (92.5%) missing valuesMissing
PKm has 5146 (92.5%) missing valuesMissing
Save%.1 has 5259 (94.5%) missing valuesMissing
CK has 5175 (93.0%) missing valuesMissing
PSxG has 5172 (92.9%) missing valuesMissing
PSxG/SoT has 5177 (93.0%) missing valuesMissing
PSxG+/- has 5175 (93.0%) missing valuesMissing
/90 has 5175 (93.0%) missing valuesMissing
Thr has 5172 (92.9%) missing valuesMissing
Launch% has 5173 (92.9%) missing valuesMissing
AvgLen has 5173 (92.9%) missing valuesMissing
Launch%.1 has 5178 (93.0%) missing valuesMissing
AvgLen.1 has 5178 (93.0%) missing valuesMissing
Opp has 5172 (92.9%) missing valuesMissing
Stp has 5172 (92.9%) missing valuesMissing
Stp% has 5178 (93.0%) missing valuesMissing
#OPA has 5175 (93.0%) missing valuesMissing
#OPA/90 has 5175 (93.0%) missing valuesMissing
AvgDist has 5180 (93.1%) missing valuesMissing
Dead has 480 (8.6%) missing valuesMissing
TB has 480 (8.6%) missing valuesMissing
Sw has 480 (8.6%) missing valuesMissing
TI has 480 (8.6%) missing valuesMissing
In has 480 (8.6%) missing valuesMissing
Out has 480 (8.6%) missing valuesMissing
Str has 480 (8.6%) missing valuesMissing
Mn/Start has 604 (10.9%) missing valuesMissing
Mn/Sub has 1298 (23.3%) missing valuesMissing
On-Off has 86 (1.5%) missing valuesMissing
onxG has 507 (9.1%) missing valuesMissing
onxGA has 507 (9.1%) missing valuesMissing
xG+/- has 507 (9.1%) missing valuesMissing
xG+/-90 has 507 (9.1%) missing valuesMissing
On-Off.1 has 549 (9.9%) missing valuesMissing
Ast.1 is highly skewed (γ1 = 46.20573422)Skewed
G+A-PK is highly skewed (γ1 = 20.50237501)Skewed
xG.1 is highly skewed (γ1 = 65.55725835)Skewed
xAG.1 is highly skewed (γ1 = 22.70758189)Skewed
xG+xAG is highly skewed (γ1 = 58.90602988)Skewed
npxG.1 is highly skewed (γ1 = 65.93475713)Skewed
npxG+xAG.1 is highly skewed (γ1 = 59.3143617)Skewed
Sh/90 is highly skewed (γ1 = 22.12434323)Skewed
GCA90 is highly skewed (γ1 = 56.72415282)Skewed
Starts has 568 (10.2%) zerosZeros
90s has 71 (1.3%) zerosZeros
Gls has 2882 (51.8%) zerosZeros
Ast has 3022 (54.3%) zerosZeros
G+A has 2214 (39.8%) zerosZeros
G-PK has 2916 (52.4%) zerosZeros
PK has 5141 (92.4%) zerosZeros
PKatt has 5052 (90.8%) zerosZeros
CrdY has 1546 (27.8%) zerosZeros
CrdR has 4882 (87.7%) zerosZeros
xG has 1082 (19.4%) zerosZeros
npxG has 1082 (19.4%) zerosZeros
xAG has 1176 (21.1%) zerosZeros
npxG+xAG has 781 (14.0%) zerosZeros
PrgC has 825 (14.8%) zerosZeros
PrgP has 617 (11.1%) zerosZeros
PrgR has 785 (14.1%) zerosZeros
Gls.1 has 2882 (51.8%) zerosZeros
Ast.1 has 3022 (54.3%) zerosZeros
G+A.1 has 2214 (39.8%) zerosZeros
G-PK.1 has 2916 (52.4%) zerosZeros
G+A-PK has 2228 (40.0%) zerosZeros
xG.1 has 945 (17.0%) zerosZeros
xAG.1 has 1108 (19.9%) zerosZeros
xG+xAG has 699 (12.6%) zerosZeros
npxG.1 has 946 (17.0%) zerosZeros
npxG+xAG.1 has 699 (12.6%) zerosZeros
Sh has 890 (16.0%) zerosZeros
SoT has 1521 (27.3%) zerosZeros
SoT% has 631 (11.3%) zerosZeros
Sh/90 has 890 (16.0%) zerosZeros
SoT/90 has 1521 (27.3%) zerosZeros
G/Sh has 1779 (32.0%) zerosZeros
G/SoT has 1148 (20.6%) zerosZeros
FK has 4085 (73.4%) zerosZeros
G-xG has 1194 (21.5%) zerosZeros
np:G-xG has 1186 (21.3%) zerosZeros
PrgDist has 91 (1.6%) zerosZeros
Cmp.1 has 98 (1.8%) zerosZeros
Att.1 has 79 (1.4%) zerosZeros
Cmp.2 has 112 (2.0%) zerosZeros
Att.2 has 84 (1.5%) zerosZeros
Cmp.3 has 381 (6.8%) zerosZeros
Att.3 has 248 (4.5%) zerosZeros
Cmp%.3 has 133 (2.4%) zerosZeros
xA has 1029 (18.5%) zerosZeros
A-xAG has 1285 (23.1%) zerosZeros
KP has 932 (16.7%) zerosZeros
1/3 has 449 (8.1%) zerosZeros
PPA has 1176 (21.1%) zerosZeros
CrsPA has 2406 (43.2%) zerosZeros
SCA has 484 (8.7%) zerosZeros
SCA90 has 484 (8.7%) zerosZeros
PassLive has 582 (10.5%) zerosZeros
PassDead has 2842 (51.1%) zerosZeros
TO has 2697 (48.5%) zerosZeros
Fld has 2467 (44.3%) zerosZeros
Def has 3468 (62.3%) zerosZeros
GCA has 1847 (33.2%) zerosZeros
GCA90 has 1847 (33.2%) zerosZeros
PassLive.1 has 2162 (38.8%) zerosZeros
PassDead.1 has 4464 (80.2%) zerosZeros
TO.1 has 4403 (79.1%) zerosZeros
Sh.1 has 4064 (73.0%) zerosZeros
Fld.1 has 4203 (75.5%) zerosZeros
Def.1 has 4885 (87.8%) zerosZeros
Tkl has 624 (11.2%) zerosZeros
TklW has 813 (14.6%) zerosZeros
Def 3rd has 974 (17.5%) zerosZeros
Mid 3rd has 1047 (18.8%) zerosZeros
Att 3rd has 1928 (34.6%) zerosZeros
Tkl.1 has 1046 (18.8%) zerosZeros
Tkl% has 475 (8.5%) zerosZeros
Lost has 751 (13.5%) zerosZeros
Blocks has 846 (15.2%) zerosZeros
Pass has 957 (17.2%) zerosZeros
Int has 872 (15.7%) zerosZeros
Tkl+Int has 468 (8.4%) zerosZeros
Clr has 582 (10.5%) zerosZeros
Err has 3658 (65.7%) zerosZeros
Def Pen has 454 (8.2%) zerosZeros
Att Pen has 809 (14.5%) zerosZeros
Succ has 1049 (18.8%) zerosZeros
Succ% has 242 (4.3%) zerosZeros
Tkld has 1316 (23.6%) zerosZeros
Tkld% has 509 (9.1%) zerosZeros
CPA has 1854 (33.3%) zerosZeros
Mis has 621 (11.2%) zerosZeros
Dis has 948 (17.0%) zerosZeros
2CrdY has 5229 (93.9%) zerosZeros
Fls has 617 (11.1%) zerosZeros
Off has 2619 (47.1%) zerosZeros
Crs has 1204 (21.6%) zerosZeros
PKwon has 4448 (79.9%) zerosZeros
PKcon has 4227 (75.9%) zerosZeros
OG has 5302 (95.3%) zerosZeros
Recov has 206 (3.7%) zerosZeros
Won has 538 (9.7%) zerosZeros
Won% has 248 (4.5%) zerosZeros
W has 76 (1.4%) zerosZeros
D has 92 (1.7%) zerosZeros
L has 57 (1.0%) zerosZeros
CS has 94 (1.7%) zerosZeros
CS% has 81 (1.5%) zerosZeros
PKA has 120 (2.2%) zerosZeros
PKsv has 291 (5.2%) zerosZeros
PKm has 366 (6.6%) zerosZeros
Save%.1 has 178 (3.2%) zerosZeros
CK has 106 (1.9%) zerosZeros
Stp has 67 (1.2%) zerosZeros
Stp% has 61 (1.1%) zerosZeros
Dead has 434 (7.8%) zerosZeros
TB has 3035 (54.5%) zerosZeros
Sw has 1496 (26.9%) zerosZeros
TI has 1592 (28.6%) zerosZeros
In has 3898 (70.0%) zerosZeros
Out has 3989 (71.7%) zerosZeros
Str has 4686 (84.2%) zerosZeros
Compl has 1087 (19.5%) zerosZeros
Subs has 1298 (23.3%) zerosZeros
Mn/Sub has 62 (1.1%) zerosZeros
unSub has 1076 (19.3%) zerosZeros
PPM has 313 (5.6%) zerosZeros
onG has 497 (8.9%) zerosZeros
onGA has 361 (6.5%) zerosZeros
+/- has 536 (9.6%) zerosZeros
+/-90 has 534 (9.6%) zerosZeros
onxG has 104 (1.9%) zerosZeros
onxGA has 101 (1.8%) zerosZeros
xG+/- has 135 (2.4%) zerosZeros
xG+/-90 has 62 (1.1%) zerosZeros

Reproduction

Analysis started2023-06-19 08:33:38.081554
Analysis finished2023-06-19 08:33:41.996685
Duration3.92 seconds
Software versionpandas-profiling v3.6.6
Download configurationconfig.json

Variables

Rk
Real number (ℝ)

Distinct717
Distinct (%)12.9%
Missing10
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean284.9962203
Minimum1
Maximum717
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:33:42.676674image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile28
Q1139
median278
Q3417
95-th percentile574
Maximum717
Range716
Interquartile range (IQR)278

Descriptive statistics

Standard deviation172.4702293
Coefficient of variation (CV)0.6051667252
Kurtosis-0.7876304389
Mean284.9962203
Median Absolute Deviation (MAD)139
Skewness0.2534267243
Sum1583439
Variance29745.98
MonotonicityNot monotonic
2023-06-19T10:33:43.016009image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 10
 
0.2%
316 10
 
0.2%
314 10
 
0.2%
313 10
 
0.2%
312 10
 
0.2%
311 10
 
0.2%
310 10
 
0.2%
309 10
 
0.2%
308 10
 
0.2%
307 10
 
0.2%
Other values (707) 5456
98.0%
ValueCountFrequency (%)
1 10
0.2%
2 10
0.2%
3 10
0.2%
4 10
0.2%
5 10
0.2%
ValueCountFrequency (%)
717 1
< 0.1%
716 1
< 0.1%
715 1
< 0.1%
714 1
< 0.1%
713 1
< 0.1%

Player
Categorical

Distinct5202
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size43.6 KiB
Rafinha
 
6
Paulinho
 
5
Bruno Silva
 
5
Patrick
 
4
Naldo
 
4
Other values (5197)
5542 

Unique

Unique4882 ?
Unique (%)87.7%

Sample

1st rowIgnazio Abate
2nd rowFrancesco Acerbi
3rd rowAfriyie Acquah
4th rowClaud Adjapong
5th rowAli Adnan Kadhim

Common Values

ValueCountFrequency (%)
Rafinha 6
 
0.1%
Paulinho 5
 
0.1%
Bruno Silva 5
 
0.1%
Patrick 4
 
0.1%
Naldo 4
 
0.1%
Marcinho 4
 
0.1%
Gabriel 4
 
0.1%
Arthur 4
 
0.1%
João Pedro 4
 
0.1%
Michel 3
 
0.1%
Other values (5192) 5523
99.2%

Nation
Categorical

Distinct135
Distinct (%)2.4%
Missing11
Missing (%)0.2%
Memory size43.6 KiB
br BRA
940 
eng ENG
527 
es ESP
401 
fr FRA
393 
nl NED
338 
Other values (130)
2956 

Unique

Unique25 ?
Unique (%)0.5%

Sample

1st rowit ITA
2nd rowit ITA
3rd rowgh GHA
4th rowit ITA
5th rowiq IRQ

Common Values

ValueCountFrequency (%)
br BRA 940
16.9%
eng ENG 527
 
9.5%
es ESP 401
 
7.2%
fr FRA 393
 
7.1%
nl NED 338
 
6.1%
it ITA 270
 
4.9%
pt POR 268
 
4.8%
de GER 251
 
4.5%
be BEL 206
 
3.7%
ar ARG 129
 
2.3%
Other values (125) 1832
32.9%

Pos
Categorical

Distinct10
Distinct (%)0.2%
Missing10
Missing (%)0.2%
Memory size43.6 KiB
DF
1564 
MF
1229 
FW
748 
FW,MF
628 
MF,FW
532 
Other values (5)
855 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDF
2nd rowDF
3rd rowMF
4th rowMF,FW
5th rowDF

Common Values

ValueCountFrequency (%)
DF 1564
28.1%
MF 1229
22.1%
FW 748
13.4%
FW,MF 628
11.3%
MF,FW 532
 
9.6%
GK 420
 
7.5%
DF,MF 199
 
3.6%
MF,DF 134
 
2.4%
DF,FW 73
 
1.3%
FW,DF 29
 
0.5%
(Missing) 10
 
0.2%

Common Values (Plot)

2023-06-19T10:33:43.416615image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Squad
Categorical

Distinct194
Distinct (%)3.5%
Missing10
Missing (%)0.2%
Memory size43.6 KiB
Monaco
 
42
Avaí
 
42
Grêmio
 
40
CSA
 
40
Vasco da Gama
 
39
Other values (189)
5353 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMilan
2nd rowLazio
3rd rowEmpoli
4th rowSassuolo
5th rowAtalanta

Common Values

ValueCountFrequency (%)
Monaco 42
 
0.8%
Avaí 42
 
0.8%
Grêmio 40
 
0.7%
CSA 40
 
0.7%
Vasco da Gama 39
 
0.7%
Reading 39
 
0.7%
Goiás 39
 
0.7%
Fluminense 39
 
0.7%
Ipswich Town 38
 
0.7%
Internacional 38
 
0.7%
Other values (184) 5160
92.7%

Age
Real number (ℝ)

Distinct26
Distinct (%)0.5%
Missing10
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean25.13696904
Minimum15
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:33:43.636379image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile19
Q122
median25
Q328
95-th percentile33
Maximum40
Range25
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.478346072
Coefficient of variation (CV)0.178157759
Kurtosis-0.3967526121
Mean25.13696904
Median Absolute Deviation (MAD)3
Skewness0.3379587797
Sum139661
Variance20.05558354
MonotonicityNot monotonic
2023-06-19T10:33:43.826060image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
24 489
 
8.8%
26 445
 
8.0%
25 434
 
7.8%
23 423
 
7.6%
21 410
 
7.4%
27 394
 
7.1%
22 384
 
6.9%
20 360
 
6.5%
28 356
 
6.4%
29 308
 
5.5%
Other values (16) 1553
27.9%
ValueCountFrequency (%)
15 4
 
0.1%
16 25
 
0.4%
17 84
 
1.5%
18 163
2.9%
19 293
5.3%
ValueCountFrequency (%)
40 4
 
0.1%
39 6
 
0.1%
38 6
 
0.1%
37 33
0.6%
36 23
0.4%

Born
Real number (ℝ)

Distinct27
Distinct (%)0.5%
Missing10
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean1992.568395
Minimum1977
Maximum2003
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:33:43.981620image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1977
5-th percentile1985
Q11989
median1993
Q31996
95-th percentile1999
Maximum2003
Range26
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.479637098
Coefficient of variation (CV)0.002248172314
Kurtosis-0.4124407068
Mean1992.568395
Median Absolute Deviation (MAD)3
Skewness-0.33019468
Sum11070710
Variance20.06714853
MonotonicityNot monotonic
2023-06-19T10:33:44.151888image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1992 467
 
8.4%
1994 457
 
8.2%
1993 447
 
8.0%
1997 428
 
7.7%
1995 411
 
7.4%
1996 402
 
7.2%
1991 401
 
7.2%
1990 341
 
6.1%
1989 338
 
6.1%
1998 298
 
5.4%
Other values (17) 1566
28.1%
ValueCountFrequency (%)
1977 1
 
< 0.1%
1978 4
 
0.1%
1979 6
 
0.1%
1980 9
 
0.2%
1981 33
0.6%
ValueCountFrequency (%)
2003 2
 
< 0.1%
2002 17
 
0.3%
2001 64
 
1.1%
2000 136
2.4%
1999 271
4.9%

MP
Real number (ℝ)

Distinct46
Distinct (%)0.8%
Missing10
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean18.15046796
Minimum1
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:33:44.332006image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q17
median18
Q328
95-th percentile36
Maximum46
Range45
Interquartile range (IQR)21

Descriptive statistics

Standard deviation11.80155605
Coefficient of variation (CV)0.6502067096
Kurtosis-1.164974571
Mean18.15046796
Median Absolute Deviation (MAD)11
Skewness0.1242042632
Sum100844
Variance139.2767253
MonotonicityNot monotonic
2023-06-19T10:33:44.511832image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
1 414
 
7.4%
2 228
 
4.1%
3 182
 
3.3%
4 178
 
3.2%
33 170
 
3.1%
30 165
 
3.0%
34 156
 
2.8%
12 155
 
2.8%
6 152
 
2.7%
16 152
 
2.7%
Other values (36) 3604
64.8%
ValueCountFrequency (%)
1 414
7.4%
2 228
4.1%
3 182
3.3%
4 178
3.2%
5 143
 
2.6%
ValueCountFrequency (%)
46 16
0.3%
45 13
0.2%
44 12
0.2%
43 13
0.2%
42 15
0.3%

Starts
Real number (ℝ)

Distinct47
Distinct (%)0.8%
Missing10
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean14.40928726
Minimum0
Maximum46
Zeros568
Zeros (%)10.2%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:33:44.696693image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median12
Q324
95-th percentile35
Maximum46
Range46
Interquartile range (IQR)21

Descriptive statistics

Standard deviation11.74946448
Coefficient of variation (CV)0.8154091364
Kurtosis-0.9472067501
Mean14.40928726
Median Absolute Deviation (MAD)10
Skewness0.4573570987
Sum80058
Variance138.0499155
MonotonicityNot monotonic
2023-06-19T10:33:44.886781image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0 568
 
10.2%
1 399
 
7.2%
2 241
 
4.3%
3 200
 
3.6%
4 192
 
3.4%
6 191
 
3.4%
7 154
 
2.8%
10 152
 
2.7%
5 149
 
2.7%
8 143
 
2.6%
Other values (37) 3167
56.9%
ValueCountFrequency (%)
0 568
10.2%
1 399
7.2%
2 241
4.3%
3 200
 
3.6%
4 192
 
3.4%
ValueCountFrequency (%)
46 11
0.2%
45 8
0.1%
44 11
0.2%
43 11
0.2%
42 8
0.1%

Min
Real number (ℝ)

Distinct2469
Distinct (%)44.4%
Missing10
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean1293.417567
Minimum1
Maximum4140
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:33:45.082047image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile25
Q1351
median1123.5
Q32105
95-th percentile3060
Maximum4140
Range4139
Interquartile range (IQR)1754

Descriptive statistics

Standard deviation1024.168279
Coefficient of variation (CV)0.7918311191
Kurtosis-0.9020207202
Mean1293.417567
Median Absolute Deviation (MAD)857
Skewness0.4669951319
Sum7186228
Variance1048920.664
MonotonicityNot monotonic
2023-06-19T10:33:45.274390image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90 96
 
1.7%
180 36
 
0.6%
1 33
 
0.6%
270 27
 
0.5%
45 27
 
0.5%
3420 24
 
0.4%
3 22
 
0.4%
3060 22
 
0.4%
2970 20
 
0.4%
16 17
 
0.3%
Other values (2459) 5232
94.0%
ValueCountFrequency (%)
1 33
0.6%
2 9
 
0.2%
3 22
0.4%
4 7
 
0.1%
5 13
 
0.2%
ValueCountFrequency (%)
4140 5
0.1%
4131 1
 
< 0.1%
4121 1
 
< 0.1%
4106 1
 
< 0.1%
4095 1
 
< 0.1%

90s
Real number (ℝ)

Distinct426
Distinct (%)7.7%
Missing10
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean14.37118431
Minimum0
Maximum46
Zeros71
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:33:45.466520image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3
Q13.9
median12.5
Q323.4
95-th percentile34
Maximum46
Range46
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation11.37995029
Coefficient of variation (CV)0.7918589063
Kurtosis-0.9023362828
Mean14.37118431
Median Absolute Deviation (MAD)9.5
Skewness0.4668143085
Sum79846.3
Variance129.5032685
MonotonicityNot monotonic
2023-06-19T10:33:45.776817image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 127
 
2.3%
0.1 100
 
1.8%
0.2 89
 
1.6%
0 71
 
1.3%
0.3 69
 
1.2%
0.5 54
 
1.0%
2 53
 
1.0%
0.7 48
 
0.9%
3 41
 
0.7%
0.4 41
 
0.7%
Other values (416) 4863
87.4%
ValueCountFrequency (%)
0 71
1.3%
0.1 100
1.8%
0.2 89
1.6%
0.3 69
1.2%
0.4 41
0.7%
ValueCountFrequency (%)
46 5
0.1%
45.9 1
 
< 0.1%
45.8 1
 
< 0.1%
45.6 1
 
< 0.1%
45.5 1
 
< 0.1%

Gls
Real number (ℝ)

Distinct30
Distinct (%)0.5%
Missing10
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean1.755759539
Minimum0
Maximum36
Zeros2882
Zeros (%)51.8%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:33:45.996657image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile8
Maximum36
Range36
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.29742462
Coefficient of variation (CV)1.878061629
Kurtosis16.20320872
Mean1.755759539
Median Absolute Deviation (MAD)0
Skewness3.451290573
Sum9755
Variance10.87300913
MonotonicityNot monotonic
2023-06-19T10:33:46.156634image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 2882
51.8%
1 958
 
17.2%
2 504
 
9.1%
3 358
 
6.4%
4 207
 
3.7%
5 143
 
2.6%
6 103
 
1.9%
7 81
 
1.5%
8 58
 
1.0%
9 48
 
0.9%
Other values (20) 214
 
3.8%
ValueCountFrequency (%)
0 2882
51.8%
1 958
 
17.2%
2 504
 
9.1%
3 358
 
6.4%
4 207
 
3.7%
ValueCountFrequency (%)
36 1
< 0.1%
33 1
< 0.1%
29 1
< 0.1%
28 2
< 0.1%
26 1
< 0.1%

Ast
Real number (ℝ)

Distinct18
Distinct (%)0.3%
Missing10
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean1.201403888
Minimum0
Maximum18
Zeros3022
Zeros (%)54.3%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:33:46.326155image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile5
Maximum18
Range18
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.999173054
Coefficient of variation (CV)1.664030784
Kurtosis8.932561063
Mean1.201403888
Median Absolute Deviation (MAD)0
Skewness2.612800197
Sum6675
Variance3.996692898
MonotonicityNot monotonic
2023-06-19T10:33:46.476830image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 3022
54.3%
1 1058
 
19.0%
2 554
 
10.0%
3 323
 
5.8%
4 202
 
3.6%
5 128
 
2.3%
6 105
 
1.9%
7 59
 
1.1%
8 33
 
0.6%
9 22
 
0.4%
Other values (8) 50
 
0.9%
ValueCountFrequency (%)
0 3022
54.3%
1 1058
 
19.0%
2 554
 
10.0%
3 323
 
5.8%
4 202
 
3.6%
ValueCountFrequency (%)
18 1
 
< 0.1%
16 1
 
< 0.1%
15 1
 
< 0.1%
14 5
0.1%
13 5
0.1%

G+A
Real number (ℝ)

Distinct37
Distinct (%)0.7%
Missing10
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean2.957163427
Minimum0
Maximum49
Zeros2214
Zeros (%)39.8%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:33:46.656918image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile13
Maximum49
Range49
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.726884727
Coefficient of variation (CV)1.598452316
Kurtosis11.321021
Mean2.957163427
Median Absolute Deviation (MAD)1
Skewness2.8862785
Sum16430
Variance22.34343923
MonotonicityNot monotonic
2023-06-19T10:33:46.846924image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 2214
39.8%
1 854
 
15.3%
2 594
 
10.7%
3 387
 
7.0%
4 317
 
5.7%
5 237
 
4.3%
6 154
 
2.8%
7 126
 
2.3%
8 116
 
2.1%
9 101
 
1.8%
Other values (27) 456
 
8.2%
ValueCountFrequency (%)
0 2214
39.8%
1 854
 
15.3%
2 594
 
10.7%
3 387
 
7.0%
4 317
 
5.7%
ValueCountFrequency (%)
49 1
 
< 0.1%
40 2
< 0.1%
38 1
 
< 0.1%
34 3
0.1%
33 3
0.1%

G-PK
Real number (ℝ)

Distinct27
Distinct (%)0.5%
Missing10
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean1.591432685
Minimum0
Maximum32
Zeros2916
Zeros (%)52.4%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:33:47.016557image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile7
Maximum32
Range32
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.922908438
Coefficient of variation (CV)1.83665226
Kurtosis16.71489201
Mean1.591432685
Median Absolute Deviation (MAD)0
Skewness3.413405718
Sum8842
Variance8.543393735
MonotonicityNot monotonic
2023-06-19T10:33:47.176952image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 2916
52.4%
1 984
 
17.7%
2 520
 
9.3%
3 354
 
6.4%
4 204
 
3.7%
5 133
 
2.4%
6 101
 
1.8%
7 76
 
1.4%
8 56
 
1.0%
9 43
 
0.8%
Other values (17) 169
 
3.0%
ValueCountFrequency (%)
0 2916
52.4%
1 984
 
17.7%
2 520
 
9.3%
3 354
 
6.4%
4 204
 
3.7%
ValueCountFrequency (%)
32 2
 
< 0.1%
29 1
 
< 0.1%
28 1
 
< 0.1%
23 2
 
< 0.1%
22 5
0.1%

PK
Real number (ℝ)

Distinct12
Distinct (%)0.2%
Missing10
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.1643268539
Minimum0
Maximum11
Zeros5141
Zeros (%)92.4%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:33:47.331861image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7263795754
Coefficient of variation (CV)4.420333977
Kurtosis48.58859525
Mean0.1643268539
Median Absolute Deviation (MAD)0
Skewness6.171999526
Sum913
Variance0.5276272876
MonotonicityNot monotonic
2023-06-19T10:33:47.466476image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 5141
92.4%
1 204
 
3.7%
2 72
 
1.3%
3 64
 
1.1%
4 36
 
0.6%
5 25
 
0.4%
6 7
 
0.1%
9 2
 
< 0.1%
8 2
 
< 0.1%
10 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
(Missing) 10
 
0.2%
ValueCountFrequency (%)
0 5141
92.4%
1 204
 
3.7%
2 72
 
1.3%
3 64
 
1.1%
4 36
 
0.6%
ValueCountFrequency (%)
11 1
< 0.1%
10 1
< 0.1%
9 2
< 0.1%
8 2
< 0.1%
7 1
< 0.1%

PKatt
Real number (ℝ)

Distinct13
Distinct (%)0.2%
Missing10
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.2080633549
Minimum0
Maximum12
Zeros5052
Zeros (%)90.8%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:33:47.596805image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8516916784
Coefficient of variation (CV)4.09342471
Kurtosis43.48946732
Mean0.2080633549
Median Absolute Deviation (MAD)0
Skewness5.862698085
Sum1156
Variance0.725378715
MonotonicityNot monotonic
2023-06-19T10:33:47.746693image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 5052
90.8%
1 243
 
4.4%
2 101
 
1.8%
3 59
 
1.1%
4 40
 
0.7%
5 28
 
0.5%
6 19
 
0.3%
7 6
 
0.1%
10 3
 
0.1%
8 2
 
< 0.1%
Other values (3) 3
 
0.1%
(Missing) 10
 
0.2%
ValueCountFrequency (%)
0 5052
90.8%
1 243
 
4.4%
2 101
 
1.8%
3 59
 
1.1%
4 40
 
0.7%
ValueCountFrequency (%)
12 1
 
< 0.1%
11 1
 
< 0.1%
10 3
0.1%
9 1
 
< 0.1%
8 2
< 0.1%

CrdY
Real number (ℝ)

Distinct17
Distinct (%)0.3%
Missing10
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean2.60187185
Minimum0
Maximum17
Zeros1546
Zeros (%)27.8%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:33:47.896758image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q34
95-th percentile8
Maximum17
Range17
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.742778442
Coefficient of variation (CV)1.054155854
Kurtosis1.776269881
Mean2.60187185
Median Absolute Deviation (MAD)2
Skewness1.325050421
Sum14456
Variance7.522833579
MonotonicityNot monotonic
2023-06-19T10:33:48.036997image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 1546
27.8%
1 966
17.4%
2 777
14.0%
3 592
 
10.6%
4 484
 
8.7%
5 404
 
7.3%
6 247
 
4.4%
7 185
 
3.3%
8 114
 
2.0%
9 89
 
1.6%
Other values (7) 152
 
2.7%
ValueCountFrequency (%)
0 1546
27.8%
1 966
17.4%
2 777
14.0%
3 592
 
10.6%
4 484
 
8.7%
ValueCountFrequency (%)
17 3
 
0.1%
15 4
 
0.1%
14 6
 
0.1%
13 15
0.3%
12 26
0.5%

CrdR
Real number (ℝ)

Distinct4
Distinct (%)0.1%
Missing10
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.1355291577
Minimum0
Maximum3
Zeros4882
Zeros (%)87.7%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:33:48.187052image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3839597902
Coefficient of variation (CV)2.833041958
Kurtosis9.495375314
Mean0.1355291577
Median Absolute Deviation (MAD)0
Skewness2.991115421
Sum753
Variance0.1474251205
MonotonicityNot monotonic
2023-06-19T10:33:48.311625image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 4882
87.7%
1 600
 
10.8%
2 69
 
1.2%
3 5
 
0.1%
(Missing) 10
 
0.2%
ValueCountFrequency (%)
0 4882
87.7%
1 600
 
10.8%
2 69
 
1.2%
3 5
 
0.1%
ValueCountFrequency (%)
3 5
 
0.1%
2 69
 
1.2%
1 600
 
10.8%
0 4882
87.7%

xG
Real number (ℝ)

MISSING  ZEROS 

Distinct188
Distinct (%)3.7%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean1.865985057
Minimum0
Maximum30.7
Zeros1082
Zeros (%)19.4%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:33:48.486897image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.1
median0.7
Q32.2
95-th percentile7.9
Maximum30.7
Range30.7
Interquartile range (IQR)2.1

Descriptive statistics

Standard deviation3.088078877
Coefficient of variation (CV)1.654932265
Kurtosis14.75162654
Mean1.865985057
Median Absolute Deviation (MAD)0.7
Skewness3.314261072
Sum9490.4
Variance9.536231153
MonotonicityNot monotonic
2023-06-19T10:33:48.676702image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1082
19.4%
0.1 441
 
7.9%
0.2 257
 
4.6%
0.5 187
 
3.4%
0.3 187
 
3.4%
0.4 172
 
3.1%
0.6 149
 
2.7%
0.7 125
 
2.2%
0.8 123
 
2.2%
1 120
 
2.2%
Other values (178) 2243
40.3%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 1082
19.4%
0.1 441
7.9%
0.2 257
 
4.6%
0.3 187
 
3.4%
0.4 172
 
3.1%
ValueCountFrequency (%)
30.7 1
< 0.1%
28 1
< 0.1%
27.7 1
< 0.1%
26.2 1
< 0.1%
25.2 1
< 0.1%

npxG
Real number (ℝ)

MISSING  ZEROS 

Distinct168
Distinct (%)3.3%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean1.701002753
Minimum0
Maximum27.7
Zeros1082
Zeros (%)19.4%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:33:48.875031image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.1
median0.7
Q32.1
95-th percentile7.1
Maximum27.7
Range27.7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.713356196
Coefficient of variation (CV)1.595150973
Kurtosis14.86041878
Mean1.701002753
Median Absolute Deviation (MAD)0.7
Skewness3.244995634
Sum8651.3
Variance7.362301846
MonotonicityNot monotonic
2023-06-19T10:33:49.086226image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1082
19.4%
0.1 444
 
8.0%
0.2 261
 
4.7%
0.5 190
 
3.4%
0.3 190
 
3.4%
0.4 176
 
3.2%
0.6 152
 
2.7%
0.7 133
 
2.4%
1 126
 
2.3%
0.8 125
 
2.2%
Other values (158) 2207
39.7%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 1082
19.4%
0.1 444
8.0%
0.2 261
 
4.7%
0.3 190
 
3.4%
0.4 176
 
3.2%
ValueCountFrequency (%)
27.7 1
< 0.1%
27.5 1
< 0.1%
26.4 1
< 0.1%
23.8 1
< 0.1%
23.5 1
< 0.1%

xAG
Real number (ℝ)

MISSING  ZEROS 

Distinct116
Distinct (%)2.3%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean1.299508455
Minimum0
Maximum16.9
Zeros1176
Zeros (%)21.1%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:33:49.281857image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.1
median0.6
Q31.7
95-th percentile5.1
Maximum16.9
Range16.9
Interquartile range (IQR)1.6

Descriptive statistics

Standard deviation1.85558281
Coefficient of variation (CV)1.427911303
Kurtosis8.916249112
Mean1.299508455
Median Absolute Deviation (MAD)0.6
Skewness2.515698765
Sum6609.3
Variance3.443187566
MonotonicityNot monotonic
2023-06-19T10:33:49.592039image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1176
21.1%
0.1 507
 
9.1%
0.2 239
 
4.3%
0.3 210
 
3.8%
0.5 195
 
3.5%
0.4 192
 
3.4%
0.6 169
 
3.0%
0.8 145
 
2.6%
0.7 144
 
2.6%
0.9 121
 
2.2%
Other values (106) 1988
35.7%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 1176
21.1%
0.1 507
9.1%
0.2 239
 
4.3%
0.3 210
 
3.8%
0.4 192
 
3.4%
ValueCountFrequency (%)
16.9 1
< 0.1%
16.2 1
< 0.1%
16.1 1
< 0.1%
14.6 1
< 0.1%
14.4 1
< 0.1%

npxG+xAG
Real number (ℝ)

MISSING  ZEROS 

Distinct229
Distinct (%)4.5%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean3.000294927
Minimum0
Maximum36.4
Zeros781
Zeros (%)14.0%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:33:49.805925image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.2
median1.5
Q34
95-th percentile11.675
Maximum36.4
Range36.4
Interquartile range (IQR)3.8

Descriptive statistics

Standard deviation4.132032566
Coefficient of variation (CV)1.377208797
Kurtosis8.611795006
Mean3.000294927
Median Absolute Deviation (MAD)1.4
Skewness2.528089662
Sum15259.5
Variance17.07369313
MonotonicityNot monotonic
2023-06-19T10:33:50.006147image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 781
 
14.0%
0.1 350
 
6.3%
0.2 160
 
2.9%
0.3 135
 
2.4%
0.4 127
 
2.3%
0.5 124
 
2.2%
0.6 119
 
2.1%
0.7 118
 
2.1%
1 95
 
1.7%
0.9 94
 
1.7%
Other values (219) 2983
53.6%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 781
14.0%
0.1 350
6.3%
0.2 160
 
2.9%
0.3 135
 
2.4%
0.4 127
 
2.3%
ValueCountFrequency (%)
36.4 1
< 0.1%
35.2 1
< 0.1%
34.2 1
< 0.1%
31.8 1
< 0.1%
29.3 2
< 0.1%

PrgC
Real number (ℝ)

MISSING  ZEROS 

Distinct181
Distinct (%)3.6%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean24.26917027
Minimum0
Maximum276
Zeros825
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:33:50.221697image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median12
Q334
95-th percentile87
Maximum276
Range276
Interquartile range (IQR)32

Descriptive statistics

Standard deviation31.63313084
Coefficient of variation (CV)1.303428609
Kurtosis6.597948773
Mean24.26917027
Median Absolute Deviation (MAD)12
Skewness2.222188093
Sum123433
Variance1000.654967
MonotonicityNot monotonic
2023-06-19T10:33:50.406613image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 825
 
14.8%
1 289
 
5.2%
2 229
 
4.1%
3 179
 
3.2%
6 163
 
2.9%
5 147
 
2.6%
4 143
 
2.6%
7 128
 
2.3%
8 109
 
2.0%
10 100
 
1.8%
Other values (171) 2774
49.8%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 825
14.8%
1 289
 
5.2%
2 229
 
4.1%
3 179
 
3.2%
4 143
 
2.6%
ValueCountFrequency (%)
276 1
< 0.1%
239 2
< 0.1%
231 1
< 0.1%
224 1
< 0.1%
212 1
< 0.1%

PrgP
Real number (ℝ)

MISSING  ZEROS 

Distinct276
Distinct (%)5.4%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean51.12308297
Minimum0
Maximum493
Zeros617
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:33:50.614190image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median31
Q379
95-th percentile168
Maximum493
Range493
Interquartile range (IQR)74

Descriptive statistics

Standard deviation57.58650105
Coefficient of variation (CV)1.126428566
Kurtosis3.357775219
Mean51.12308297
Median Absolute Deviation (MAD)29
Skewness1.642572213
Sum260012
Variance3316.205103
MonotonicityNot monotonic
2023-06-19T10:33:50.822007image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 617
 
11.1%
1 195
 
3.5%
2 153
 
2.7%
3 120
 
2.2%
4 105
 
1.9%
5 93
 
1.7%
7 75
 
1.3%
9 68
 
1.2%
6 66
 
1.2%
10 65
 
1.2%
Other values (266) 3529
63.4%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 617
11.1%
1 195
 
3.5%
2 153
 
2.7%
3 120
 
2.2%
4 105
 
1.9%
ValueCountFrequency (%)
493 1
< 0.1%
368 1
< 0.1%
362 1
< 0.1%
357 1
< 0.1%
328 1
< 0.1%

PrgR
Real number (ℝ)

MISSING  ZEROS 

Distinct326
Distinct (%)6.4%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean50.58139992
Minimum0
Maximum527
Zeros785
Zeros (%)14.1%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:33:51.021905image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median20
Q375
95-th percentile196
Maximum527
Range527
Interquartile range (IQR)72

Descriptive statistics

Standard deviation68.64420087
Coefficient of variation (CV)1.357103619
Kurtosis4.17846997
Mean50.58139992
Median Absolute Deviation (MAD)20
Skewness1.943150754
Sum257257
Variance4712.026313
MonotonicityNot monotonic
2023-06-19T10:33:51.216990image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 785
 
14.1%
1 257
 
4.6%
2 221
 
4.0%
3 171
 
3.1%
4 124
 
2.2%
5 109
 
2.0%
6 104
 
1.9%
7 101
 
1.8%
9 86
 
1.5%
8 71
 
1.3%
Other values (316) 3057
54.9%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 785
14.1%
1 257
 
4.6%
2 221
 
4.0%
3 171
 
3.1%
4 124
 
2.2%
ValueCountFrequency (%)
527 1
< 0.1%
439 1
< 0.1%
436 1
< 0.1%
429 1
< 0.1%
418 1
< 0.1%

Gls.1
Real number (ℝ)

Distinct119
Distinct (%)2.1%
Missing10
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.1126439885
Minimum0
Maximum10
Zeros2882
Zeros (%)51.8%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:33:51.416564image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.15
95-th percentile0.47
Maximum10
Range10
Interquartile range (IQR)0.15

Descriptive statistics

Standard deviation0.2849789607
Coefficient of variation (CV)2.529908294
Kurtosis478.4978388
Mean0.1126439885
Median Absolute Deviation (MAD)0
Skewness16.76160098
Sum625.85
Variance0.08121300807
MonotonicityNot monotonic
2023-06-19T10:33:51.611972image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2882
51.8%
0.04 140
 
2.5%
0.03 136
 
2.4%
0.05 117
 
2.1%
0.06 117
 
2.1%
0.07 116
 
2.1%
0.08 107
 
1.9%
0.1 104
 
1.9%
0.09 100
 
1.8%
0.12 91
 
1.6%
Other values (109) 1646
29.6%
ValueCountFrequency (%)
0 2882
51.8%
0.02 8
 
0.1%
0.03 136
 
2.4%
0.04 140
 
2.5%
0.05 117
 
2.1%
ValueCountFrequency (%)
10 1
< 0.1%
9 1
< 0.1%
5.29 1
< 0.1%
4.74 1
< 0.1%
4.5 1
< 0.1%

Ast.1
Real number (ℝ)

SKEWED  ZEROS 

Distinct91
Distinct (%)1.6%
Missing10
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.07783837293
Minimum0
Maximum18
Zeros3022
Zeros (%)54.3%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:33:51.806907image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.11
95-th percentile0.2925
Maximum18
Range18
Interquartile range (IQR)0.11

Descriptive statistics

Standard deviation0.28449179
Coefficient of variation (CV)3.654904121
Kurtosis2844.939232
Mean0.07783837293
Median Absolute Deviation (MAD)0
Skewness46.20573422
Sum432.47
Variance0.08093557855
MonotonicityNot monotonic
2023-06-19T10:33:52.091858image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3022
54.3%
0.04 162
 
2.9%
0.03 141
 
2.5%
0.07 139
 
2.5%
0.05 137
 
2.5%
0.06 136
 
2.4%
0.09 132
 
2.4%
0.1 125
 
2.2%
0.08 115
 
2.1%
0.11 113
 
2.0%
Other values (81) 1334
24.0%
ValueCountFrequency (%)
0 3022
54.3%
0.02 12
 
0.2%
0.03 141
 
2.5%
0.04 162
 
2.9%
0.05 137
 
2.5%
ValueCountFrequency (%)
18 1
< 0.1%
3.6 1
< 0.1%
2.81 1
< 0.1%
2.43 1
< 0.1%
2.05 1
< 0.1%

G+A.1
Real number (ℝ)

Distinct154
Distinct (%)2.8%
Missing10
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.1905201584
Minimum0
Maximum18
Zeros2214
Zeros (%)39.8%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:33:52.501825image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.09
Q30.27
95-th percentile0.6525
Maximum18
Range18
Interquartile range (IQR)0.27

Descriptive statistics

Standard deviation0.4189387812
Coefficient of variation (CV)2.198921021
Kurtosis690.9644749
Mean0.1905201584
Median Absolute Deviation (MAD)0.09
Skewness19.71739833
Sum1058.53
Variance0.1755097024
MonotonicityNot monotonic
2023-06-19T10:33:52.711804image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2214
39.8%
0.1 106
 
1.9%
0.06 103
 
1.9%
0.08 102
 
1.8%
0.15 100
 
1.8%
0.14 98
 
1.8%
0.09 97
 
1.7%
0.12 97
 
1.7%
0.07 95
 
1.7%
0.11 93
 
1.7%
Other values (144) 2451
44.0%
ValueCountFrequency (%)
0 2214
39.8%
0.02 7
 
0.1%
0.03 80
 
1.4%
0.04 81
 
1.5%
0.05 81
 
1.5%
ValueCountFrequency (%)
18 1
< 0.1%
10 1
< 0.1%
9 1
< 0.1%
5.29 1
< 0.1%
4.86 1
< 0.1%

G-PK.1
Real number (ℝ)

Distinct120
Distinct (%)2.2%
Missing10
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.1048956084
Minimum0
Maximum10
Zeros2916
Zeros (%)52.4%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:33:52.916912image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.14
95-th percentile0.43
Maximum10
Range10
Interquartile range (IQR)0.14

Descriptive statistics

Standard deviation0.2789100683
Coefficient of variation (CV)2.658929889
Kurtosis523.5283073
Mean0.1048956084
Median Absolute Deviation (MAD)0
Skewness17.86493155
Sum582.8
Variance0.07779082618
MonotonicityNot monotonic
2023-06-19T10:33:53.130400image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2916
52.4%
0.04 150
 
2.7%
0.03 148
 
2.7%
0.05 120
 
2.2%
0.07 118
 
2.1%
0.06 116
 
2.1%
0.08 116
 
2.1%
0.1 107
 
1.9%
0.09 107
 
1.9%
0.11 92
 
1.7%
Other values (110) 1566
28.1%
ValueCountFrequency (%)
0 2916
52.4%
0.02 7
 
0.1%
0.03 148
 
2.7%
0.04 150
 
2.7%
0.05 120
 
2.2%
ValueCountFrequency (%)
10 1
< 0.1%
9 1
< 0.1%
5.29 1
< 0.1%
4.74 1
< 0.1%
4.5 1
< 0.1%

G+A-PK
Real number (ℝ)

SKEWED  ZEROS 

Distinct149
Distinct (%)2.7%
Missing10
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.182775378
Minimum0
Maximum18
Zeros2228
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:33:53.326696image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.08
Q30.26
95-th percentile0.63
Maximum18
Range18
Interquartile range (IQR)0.26

Descriptive statistics

Standard deviation0.4135562882
Coefficient of variation (CV)2.262647698
Kurtosis729.2280329
Mean0.182775378
Median Absolute Deviation (MAD)0.08
Skewness20.50237501
Sum1015.5
Variance0.1710288035
MonotonicityNot monotonic
2023-06-19T10:33:53.511658image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2228
40.0%
0.1 110
 
2.0%
0.06 105
 
1.9%
0.09 103
 
1.9%
0.08 103
 
1.9%
0.12 99
 
1.8%
0.14 99
 
1.8%
0.07 98
 
1.8%
0.15 96
 
1.7%
0.11 95
 
1.7%
Other values (139) 2420
43.5%
ValueCountFrequency (%)
0 2228
40.0%
0.02 7
 
0.1%
0.03 82
 
1.5%
0.04 83
 
1.5%
0.05 82
 
1.5%
ValueCountFrequency (%)
18 1
< 0.1%
10 1
< 0.1%
9 1
< 0.1%
5.29 1
< 0.1%
4.86 1
< 0.1%

xG.1
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct117
Distinct (%)2.3%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean0.1462190326
Minimum0
Maximum65.12
Zeros945
Zeros (%)17.0%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:33:53.716918image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.02
median0.06
Q30.18
95-th percentile0.47
Maximum65.12
Range65.12
Interquartile range (IQR)0.16

Descriptive statistics

Standard deviation0.9376713968
Coefficient of variation (CV)6.412786214
Kurtosis4536.491064
Mean0.1462190326
Median Absolute Deviation (MAD)0.06
Skewness65.55725835
Sum743.67
Variance0.8792276484
MonotonicityNot monotonic
2023-06-19T10:33:53.896653image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 945
17.0%
0.02 323
 
5.8%
0.03 288
 
5.2%
0.01 279
 
5.0%
0.04 265
 
4.8%
0.05 262
 
4.7%
0.06 208
 
3.7%
0.07 197
 
3.5%
0.08 160
 
2.9%
0.09 136
 
2.4%
Other values (107) 2023
36.3%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 945
17.0%
0.01 279
 
5.0%
0.02 323
 
5.8%
0.03 288
 
5.2%
0.04 265
 
4.8%
ValueCountFrequency (%)
65.12 1
< 0.1%
4.89 1
< 0.1%
4.24 1
< 0.1%
3.93 1
< 0.1%
3.92 1
< 0.1%

xAG.1
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct84
Distinct (%)1.7%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean0.09344278411
Minimum0
Maximum9.73
Zeros1108
Zeros (%)19.9%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:33:54.186752image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.01
median0.05
Q30.13
95-th percentile0.2675
Maximum9.73
Range9.73
Interquartile range (IQR)0.12

Descriptive statistics

Standard deviation0.2404608885
Coefficient of variation (CV)2.57334893
Kurtosis712.7921226
Mean0.09344278411
Median Absolute Deviation (MAD)0.05
Skewness22.70758189
Sum475.25
Variance0.05782143891
MonotonicityNot monotonic
2023-06-19T10:33:54.396976image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1108
19.9%
0.01 373
 
6.7%
0.02 317
 
5.7%
0.03 277
 
5.0%
0.04 253
 
4.5%
0.05 245
 
4.4%
0.06 206
 
3.7%
0.07 186
 
3.3%
0.08 184
 
3.3%
0.09 176
 
3.2%
Other values (74) 1761
31.6%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 1108
19.9%
0.01 373
 
6.7%
0.02 317
 
5.7%
0.03 277
 
5.0%
0.04 253
 
4.5%
ValueCountFrequency (%)
9.73 1
< 0.1%
5.69 1
< 0.1%
5.61 1
< 0.1%
5.55 1
< 0.1%
4.89 1
< 0.1%

xG+xAG
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct151
Distinct (%)3.0%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean0.2396716477
Minimum0
Maximum65.12
Zeros699
Zeros (%)12.6%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:33:54.596734image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.05
median0.14
Q30.32
95-th percentile0.65
Maximum65.12
Range65.12
Interquartile range (IQR)0.27

Descriptive statistics

Standard deviation0.9721566969
Coefficient of variation (CV)4.056202335
Kurtosis3905.831221
Mean0.2396716477
Median Absolute Deviation (MAD)0.12
Skewness58.90602988
Sum1218.97
Variance0.9450886434
MonotonicityNot monotonic
2023-06-19T10:33:54.786717image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 699
 
12.6%
0.08 166
 
3.0%
0.06 164
 
2.9%
0.07 155
 
2.8%
0.05 154
 
2.8%
0.04 154
 
2.8%
0.09 147
 
2.6%
0.1 146
 
2.6%
0.03 140
 
2.5%
0.11 129
 
2.3%
Other values (141) 3032
54.5%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 699
12.6%
0.01 106
 
1.9%
0.02 100
 
1.8%
0.03 140
 
2.5%
0.04 154
 
2.8%
ValueCountFrequency (%)
65.12 1
< 0.1%
9.73 1
< 0.1%
5.96 1
< 0.1%
5.69 1
< 0.1%
5.61 1
< 0.1%

npxG.1
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct112
Distinct (%)2.2%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean0.1381085332
Minimum0
Maximum65.12
Zeros946
Zeros (%)17.0%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:33:54.991669image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.02
median0.06
Q30.17
95-th percentile0.43
Maximum65.12
Range65.12
Interquartile range (IQR)0.15

Descriptive statistics

Standard deviation0.9359916005
Coefficient of variation (CV)6.777217733
Kurtosis4571.45184
Mean0.1381085332
Median Absolute Deviation (MAD)0.06
Skewness65.93475713
Sum702.42
Variance0.8760802761
MonotonicityNot monotonic
2023-06-19T10:33:55.286636image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 946
17.0%
0.02 330
 
5.9%
0.03 299
 
5.4%
0.01 281
 
5.0%
0.04 277
 
5.0%
0.05 268
 
4.8%
0.06 216
 
3.9%
0.07 202
 
3.6%
0.08 168
 
3.0%
0.09 140
 
2.5%
Other values (102) 1959
35.2%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 946
17.0%
0.01 281
 
5.0%
0.02 330
 
5.9%
0.03 299
 
5.4%
0.04 277
 
5.0%
ValueCountFrequency (%)
65.12 1
< 0.1%
4.89 1
< 0.1%
4.24 1
< 0.1%
3.93 1
< 0.1%
3.92 1
< 0.1%

npxG+xAG.1
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct142
Distinct (%)2.8%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean0.2315395203
Minimum0
Maximum65.12
Zeros699
Zeros (%)12.6%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:33:55.556346image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.05
median0.14
Q30.31
95-th percentile0.61
Maximum65.12
Range65.12
Interquartile range (IQR)0.26

Descriptive statistics

Standard deviation0.9700415145
Coefficient of variation (CV)4.189528913
Kurtosis3942.023722
Mean0.2315395203
Median Absolute Deviation (MAD)0.11
Skewness59.3143617
Sum1177.61
Variance0.9409805399
MonotonicityNot monotonic
2023-06-19T10:33:55.796290image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 699
 
12.6%
0.08 169
 
3.0%
0.06 166
 
3.0%
0.07 158
 
2.8%
0.05 156
 
2.8%
0.04 156
 
2.8%
0.09 153
 
2.7%
0.1 145
 
2.6%
0.03 140
 
2.5%
0.11 132
 
2.4%
Other values (132) 3012
54.1%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 699
12.6%
0.01 106
 
1.9%
0.02 100
 
1.8%
0.03 140
 
2.5%
0.04 156
 
2.8%
ValueCountFrequency (%)
65.12 1
< 0.1%
9.73 1
< 0.1%
5.96 1
< 0.1%
5.69 1
< 0.1%
5.61 1
< 0.1%

Matches
Categorical

Distinct1
Distinct (%)< 0.1%
Missing10
Missing (%)0.2%
Memory size43.6 KiB
Matches
5556 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMatches
2nd rowMatches
3rd rowMatches
4th rowMatches
5th rowMatches

Common Values

ValueCountFrequency (%)
Matches 5556
99.8%
(Missing) 10
 
0.2%

Common Values (Plot)

2023-06-19T10:33:56.066774image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Season
Categorical

Distinct2
Distinct (%)< 0.1%
Missing10
Missing (%)0.2%
Memory size43.6 KiB
2018-2019
4839 
2019.0
717 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018-2019
2nd row2018-2019
3rd row2018-2019
4th row2018-2019
5th row2018-2019

Common Values

ValueCountFrequency (%)
2018-2019 4839
86.9%
2019.0 717
 
12.9%
(Missing) 10
 
0.2%

Common Values (Plot)

2023-06-19T10:33:56.206688image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

League
Categorical

Distinct10
Distinct (%)0.2%
Missing10
Missing (%)0.2%
Memory size43.6 KiB
Brazil
717 
England2
708 
Italy
569 
France
561 
Spain
544 
Other values (5)
2457 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowItaly
2nd rowItaly
3rd rowItaly
4th rowItaly
5th rowItaly

Common Values

ValueCountFrequency (%)
Brazil 717
12.9%
England2 708
12.7%
Italy 569
10.2%
France 561
10.1%
Spain 544
9.8%
Portugal 539
9.7%
England1 508
9.1%
Netherlands 479
8.6%
Germany 474
8.5%
Belgium 457
8.2%
(Missing) 10
 
0.2%

Common Values (Plot)

2023-06-19T10:33:56.386823image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Sh
Real number (ℝ)

MISSING  ZEROS 

Distinct133
Distinct (%)2.6%
Missing468
Missing (%)8.4%
Infinite0
Infinite (%)0.0%
Mean17.06316202
Minimum0
Maximum171
Zeros890
Zeros (%)16.0%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:33:56.616941image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median9
Q324
95-th percentile64
Maximum171
Range171
Interquartile range (IQR)22

Descriptive statistics

Standard deviation22.10891078
Coefficient of variation (CV)1.295710065
Kurtosis5.854103584
Mean17.06316202
Median Absolute Deviation (MAD)9
Skewness2.182748635
Sum86988
Variance488.803936
MonotonicityNot monotonic
2023-06-19T10:33:56.807067image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 890
 
16.0%
1 350
 
6.3%
2 282
 
5.1%
3 186
 
3.3%
4 180
 
3.2%
5 173
 
3.1%
6 139
 
2.5%
9 138
 
2.5%
7 137
 
2.5%
10 131
 
2.4%
Other values (123) 2492
44.8%
(Missing) 468
 
8.4%
ValueCountFrequency (%)
0 890
16.0%
1 350
 
6.3%
2 282
 
5.1%
3 186
 
3.3%
4 180
 
3.2%
ValueCountFrequency (%)
171 1
< 0.1%
165 1
< 0.1%
154 1
< 0.1%
152 1
< 0.1%
143 1
< 0.1%

SoT
Real number (ℝ)

MISSING  ZEROS 

Distinct61
Distinct (%)1.2%
Missing468
Missing (%)8.4%
Infinite0
Infinite (%)0.0%
Mean5.575127501
Minimum0
Maximum82
Zeros1521
Zeros (%)27.3%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:33:57.016890image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37
95-th percentile24
Maximum82
Range82
Interquartile range (IQR)7

Descriptive statistics

Standard deviation8.355498005
Coefficient of variation (CV)1.498709761
Kurtosis9.272178923
Mean5.575127501
Median Absolute Deviation (MAD)2
Skewness2.644852809
Sum28422
Variance69.8143469
MonotonicityNot monotonic
2023-06-19T10:33:57.201664image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1521
27.3%
1 670
12.0%
2 417
 
7.5%
3 376
 
6.8%
4 288
 
5.2%
5 228
 
4.1%
7 184
 
3.3%
6 175
 
3.1%
8 163
 
2.9%
9 127
 
2.3%
Other values (51) 949
17.0%
(Missing) 468
 
8.4%
ValueCountFrequency (%)
0 1521
27.3%
1 670
12.0%
2 417
 
7.5%
3 376
 
6.8%
4 288
 
5.2%
ValueCountFrequency (%)
82 1
< 0.1%
70 1
< 0.1%
68 1
< 0.1%
62 1
< 0.1%
60 2
< 0.1%

SoT%
Real number (ℝ)

MISSING  ZEROS 

Distinct361
Distinct (%)8.6%
Missing1358
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean29.70677281
Minimum0
Maximum100
Zeros631
Zeros (%)11.3%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:33:57.386911image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q117.9
median30
Q340
95-th percentile60
Maximum100
Range100
Interquartile range (IQR)22.1

Descriptive statistics

Standard deviation20.5913338
Coefficient of variation (CV)0.6931528351
Kurtosis2.373158736
Mean29.70677281
Median Absolute Deviation (MAD)10.1
Skewness1.007094609
Sum125006.1
Variance424.0030276
MonotonicityNot monotonic
2023-06-19T10:33:57.586818image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 631
 
11.3%
33.3 272
 
4.9%
50 229
 
4.1%
25 176
 
3.2%
20 142
 
2.6%
100 131
 
2.4%
40 110
 
2.0%
16.7 89
 
1.6%
28.6 78
 
1.4%
42.9 69
 
1.2%
Other values (351) 2281
41.0%
(Missing) 1358
24.4%
ValueCountFrequency (%)
0 631
11.3%
4.5 1
 
< 0.1%
4.8 2
 
< 0.1%
5.3 1
 
< 0.1%
5.6 3
 
0.1%
ValueCountFrequency (%)
100 131
2.4%
84.6 1
 
< 0.1%
83.3 4
 
0.1%
80 3
 
0.1%
76.9 1
 
< 0.1%

Sh/90
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct472
Distinct (%)9.3%
Missing468
Missing (%)8.4%
Infinite0
Infinite (%)0.0%
Mean1.274656728
Minimum0
Maximum90
Zeros890
Zeros (%)16.0%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:33:57.791589image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.31
median0.87
Q31.92
95-th percentile3.5
Maximum90
Range90
Interquartile range (IQR)1.61

Descriptive statistics

Standard deviation1.87914956
Coefficient of variation (CV)1.474239706
Kurtosis982.9337272
Mean1.274656728
Median Absolute Deviation (MAD)0.74
Skewness22.12434323
Sum6498.2
Variance3.53120307
MonotonicityNot monotonic
2023-06-19T10:33:57.976922image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 890
 
16.0%
0.45 42
 
0.8%
0.62 39
 
0.7%
0.4 33
 
0.6%
0.5 32
 
0.6%
0.48 30
 
0.5%
0.34 30
 
0.5%
0.64 29
 
0.5%
0.35 29
 
0.5%
0.36 28
 
0.5%
Other values (462) 3916
70.4%
(Missing) 468
 
8.4%
ValueCountFrequency (%)
0 890
16.0%
0.03 7
 
0.1%
0.04 5
 
0.1%
0.05 3
 
0.1%
0.06 5
 
0.1%
ValueCountFrequency (%)
90 1
 
< 0.1%
22.5 1
 
< 0.1%
18 1
 
< 0.1%
15 3
0.1%
13.85 2
< 0.1%

SoT/90
Real number (ℝ)

MISSING  ZEROS 

Distinct238
Distinct (%)4.7%
Missing468
Missing (%)8.4%
Infinite0
Infinite (%)0.0%
Mean0.3971008239
Minimum0
Maximum18
Zeros1521
Zeros (%)27.3%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:33:58.170022image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.2
Q30.58
95-th percentile1.3
Maximum18
Range18
Interquartile range (IQR)0.58

Descriptive statistics

Standard deviation0.6426340534
Coefficient of variation (CV)1.618314581
Kurtosis154.2595545
Mean0.3971008239
Median Absolute Deviation (MAD)0.2
Skewness8.359292399
Sum2024.42
Variance0.4129785266
MonotonicityNot monotonic
2023-06-19T10:33:58.366289image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1521
27.3%
0.12 84
 
1.5%
0.11 74
 
1.3%
0.1 71
 
1.3%
0.09 70
 
1.3%
0.14 70
 
1.3%
0.13 67
 
1.2%
0.2 63
 
1.1%
0.16 63
 
1.1%
0.15 61
 
1.1%
Other values (228) 2954
53.1%
(Missing) 468
 
8.4%
ValueCountFrequency (%)
0 1521
27.3%
0.02 2
 
< 0.1%
0.03 30
 
0.5%
0.04 39
 
0.7%
0.05 51
 
0.9%
ValueCountFrequency (%)
18 1
< 0.1%
10.59 1
< 0.1%
10 1
< 0.1%
9 1
< 0.1%
7.5 2
< 0.1%

G/Sh
Real number (ℝ)

MISSING  ZEROS 

Distinct44
Distinct (%)1.0%
Missing1358
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean0.07964828897
Minimum0
Maximum1
Zeros1779
Zeros (%)32.0%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:33:58.701919image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.05
Q30.12
95-th percentile0.25
Maximum1
Range1
Interquartile range (IQR)0.12

Descriptive statistics

Standard deviation0.1187111672
Coefficient of variation (CV)1.490442151
Kurtosis25.08778779
Mean0.07964828897
Median Absolute Deviation (MAD)0.05
Skewness3.986901752
Sum335.16
Variance0.01409234121
MonotonicityNot monotonic
2023-06-19T10:33:58.896574image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0 1779
32.0%
0.06 174
 
3.1%
0.08 174
 
3.1%
0.07 174
 
3.1%
0.09 171
 
3.1%
0.11 156
 
2.8%
0.1 154
 
2.8%
0.13 134
 
2.4%
0.14 125
 
2.2%
0.05 124
 
2.2%
Other values (34) 1043
18.7%
(Missing) 1358
24.4%
ValueCountFrequency (%)
0 1779
32.0%
0.02 19
 
0.3%
0.03 84
 
1.5%
0.04 111
 
2.0%
0.05 124
 
2.2%
ValueCountFrequency (%)
1 30
0.5%
0.67 1
 
< 0.1%
0.6 1
 
< 0.1%
0.5 35
0.6%
0.45 1
 
< 0.1%

G/SoT
Real number (ℝ)

MISSING  ZEROS 

Distinct70
Distinct (%)2.0%
Missing1989
Missing (%)35.7%
Infinite0
Infinite (%)0.0%
Mean0.2632038021
Minimum0
Maximum1
Zeros1148
Zeros (%)20.6%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:33:59.102015image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.24
Q30.4
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation0.2616011213
Coefficient of variation (CV)0.9939108752
Kurtosis1.020563253
Mean0.2632038021
Median Absolute Deviation (MAD)0.24
Skewness1.109519247
Sum941.48
Variance0.06843514665
MonotonicityNot monotonic
2023-06-19T10:33:59.301930image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1148
20.6%
0.5 283
 
5.1%
0.33 255
 
4.6%
0.25 212
 
3.8%
1 186
 
3.3%
0.2 127
 
2.3%
0.17 92
 
1.7%
0.4 89
 
1.6%
0.29 84
 
1.5%
0.67 73
 
1.3%
Other values (60) 1028
18.5%
(Missing) 1989
35.7%
ValueCountFrequency (%)
0 1148
20.6%
0.05 1
 
< 0.1%
0.06 6
 
0.1%
0.07 4
 
0.1%
0.08 20
 
0.4%
ValueCountFrequency (%)
1 186
3.3%
0.92 1
 
< 0.1%
0.88 1
 
< 0.1%
0.83 2
 
< 0.1%
0.82 1
 
< 0.1%

Dist
Real number (ℝ)

Distinct312
Distinct (%)7.4%
Missing1369
Missing (%)24.6%
Infinite0
Infinite (%)0.0%
Mean18.50467
Minimum1.2
Maximum46.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:33:59.496777image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1.2
5-th percentile9.7
Q114.1
median18.4
Q322.5
95-th percentile28
Maximum46.4
Range45.2
Interquartile range (IQR)8.4

Descriptive statistics

Standard deviation5.838779101
Coefficient of variation (CV)0.3155300311
Kurtosis-0.02212370098
Mean18.50467
Median Absolute Deviation (MAD)4.2
Skewness0.2637446533
Sum77664.1
Variance34.09134139
MonotonicityNot monotonic
2023-06-19T10:33:59.686156image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17.6 41
 
0.7%
14.8 34
 
0.6%
17.1 33
 
0.6%
22.9 33
 
0.6%
18.9 33
 
0.6%
19 33
 
0.6%
19.2 33
 
0.6%
21 33
 
0.6%
14.6 32
 
0.6%
19.9 32
 
0.6%
Other values (302) 3860
69.3%
(Missing) 1369
 
24.6%
ValueCountFrequency (%)
1.2 1
< 0.1%
2.3 1
< 0.1%
3 1
< 0.1%
3.1 1
< 0.1%
3.2 1
< 0.1%
ValueCountFrequency (%)
46.4 1
< 0.1%
45.8 1
< 0.1%
40 1
< 0.1%
39.9 1
< 0.1%
38.9 1
< 0.1%

FK
Real number (ℝ)

MISSING  ZEROS 

Distinct29
Distinct (%)0.6%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean0.7504915454
Minimum0
Maximum41
Zeros4085
Zeros (%)73.4%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:33:59.895014image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum41
Range41
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.431292787
Coefficient of variation (CV)3.239600502
Kurtosis50.58014462
Mean0.7504915454
Median Absolute Deviation (MAD)0
Skewness5.89984719
Sum3817
Variance5.911184616
MonotonicityNot monotonic
2023-06-19T10:34:00.056808image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 4085
73.4%
1 372
 
6.7%
2 164
 
2.9%
3 130
 
2.3%
5 68
 
1.2%
4 60
 
1.1%
6 40
 
0.7%
7 32
 
0.6%
8 29
 
0.5%
9 26
 
0.5%
Other values (19) 80
 
1.4%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 4085
73.4%
1 372
 
6.7%
2 164
 
2.9%
3 130
 
2.3%
4 60
 
1.1%
ValueCountFrequency (%)
41 1
< 0.1%
34 1
< 0.1%
30 1
< 0.1%
29 1
< 0.1%
27 1
< 0.1%

npxG/Sh
Real number (ℝ)

Distinct61
Distinct (%)1.5%
Missing1369
Missing (%)24.6%
Infinite0
Infinite (%)0.0%
Mean0.09344055278
Minimum0
Maximum0.83
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:00.241777image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.03
Q10.05
median0.08
Q30.12
95-th percentile0.2
Maximum0.83
Range0.83
Interquartile range (IQR)0.07

Descriptive statistics

Standard deviation0.06611570587
Coefficient of variation (CV)0.7075697211
Kurtosis21.33839973
Mean0.09344055278
Median Absolute Deviation (MAD)0.03
Skewness3.30863267
Sum392.17
Variance0.004371286563
MonotonicityNot monotonic
2023-06-19T10:34:00.426583image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.04 452
 
8.1%
0.05 389
 
7.0%
0.06 366
 
6.6%
0.07 343
 
6.2%
0.03 329
 
5.9%
0.09 316
 
5.7%
0.08 298
 
5.4%
0.1 246
 
4.4%
0.12 229
 
4.1%
0.11 222
 
4.0%
Other values (51) 1007
18.1%
(Missing) 1369
24.6%
ValueCountFrequency (%)
0 1
 
< 0.1%
0.01 1
 
< 0.1%
0.02 91
 
1.6%
0.03 329
5.9%
0.04 452
8.1%
ValueCountFrequency (%)
0.83 1
< 0.1%
0.73 1
< 0.1%
0.72 2
< 0.1%
0.68 2
< 0.1%
0.65 1
< 0.1%

G-xG
Real number (ℝ)

MISSING  ZEROS 

Distinct119
Distinct (%)2.3%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean-0.1020448289
Minimum-8.7
Maximum12.2
Zeros1194
Zeros (%)21.5%
Negative2599
Negative (%)46.7%
Memory size43.6 KiB
2023-06-19T10:34:00.626516image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-8.7
5-th percentile-1.775
Q1-0.5
median-0.1
Q30.1
95-th percentile1.775
Maximum12.2
Range20.9
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation1.151922742
Coefficient of variation (CV)-11.28839898
Kurtosis9.607095711
Mean-0.1020448289
Median Absolute Deviation (MAD)0.3
Skewness0.9294005675
Sum-519
Variance1.326926005
MonotonicityNot monotonic
2023-06-19T10:34:00.806528image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1194
21.5%
-0.1 481
 
8.6%
-0.2 302
 
5.4%
-0.3 221
 
4.0%
-0.4 195
 
3.5%
-0.5 184
 
3.3%
-0.6 161
 
2.9%
-0.7 127
 
2.3%
0.5 105
 
1.9%
0.4 101
 
1.8%
Other values (109) 2015
36.2%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
-8.7 1
< 0.1%
-6.8 1
< 0.1%
-5.8 1
< 0.1%
-5.5 1
< 0.1%
-5.2 1
< 0.1%
ValueCountFrequency (%)
12.2 1
< 0.1%
8.5 1
< 0.1%
8.1 1
< 0.1%
7.3 1
< 0.1%
7 1
< 0.1%

np:G-xG
Real number (ℝ)

MISSING  ZEROS 

Distinct114
Distinct (%)2.2%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean-0.1018875344
Minimum-8.5
Maximum12.1
Zeros1186
Zeros (%)21.3%
Negative2606
Negative (%)46.8%
Memory size43.6 KiB
2023-06-19T10:34:00.986836image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-8.5
5-th percentile-1.8
Q1-0.5
median-0.1
Q30.1
95-th percentile1.7
Maximum12.1
Range20.6
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation1.126987429
Coefficient of variation (CV)-11.06109236
Kurtosis9.33597722
Mean-0.1018875344
Median Absolute Deviation (MAD)0.3
Skewness0.8818408816
Sum-518.2
Variance1.270100665
MonotonicityNot monotonic
2023-06-19T10:34:01.276924image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1186
21.3%
-0.1 485
 
8.7%
-0.2 308
 
5.5%
-0.3 227
 
4.1%
-0.4 207
 
3.7%
-0.5 173
 
3.1%
-0.6 157
 
2.8%
-0.7 131
 
2.4%
0.4 107
 
1.9%
0.5 101
 
1.8%
Other values (104) 2004
36.0%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
-8.5 1
< 0.1%
-7.2 1
< 0.1%
-5.5 1
< 0.1%
-5.2 1
< 0.1%
-5.1 1
< 0.1%
ValueCountFrequency (%)
12.1 1
< 0.1%
8.2 1
< 0.1%
7.1 1
< 0.1%
6.9 2
< 0.1%
6.8 1
< 0.1%

Cmp
Real number (ℝ)

Distinct1427
Distinct (%)28.1%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean480.2882422
Minimum0
Maximum2920
Zeros42
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:01.466704image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q193
median336.5
Q3737
95-th percentile1403
Maximum2920
Range2920
Interquartile range (IQR)644

Descriptive statistics

Standard deviation469.9509545
Coefficient of variation (CV)0.9784769085
Kurtosis1.595981691
Mean480.2882422
Median Absolute Deviation (MAD)284
Skewness1.285075235
Sum2442746
Variance220853.8996
MonotonicityNot monotonic
2023-06-19T10:34:01.650122image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 48
 
0.9%
1 47
 
0.8%
0 42
 
0.8%
10 32
 
0.6%
4 31
 
0.6%
2 31
 
0.6%
8 27
 
0.5%
5 25
 
0.4%
13 24
 
0.4%
7 24
 
0.4%
Other values (1417) 4755
85.4%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 42
0.8%
1 47
0.8%
2 31
0.6%
3 48
0.9%
4 31
0.6%
ValueCountFrequency (%)
2920 1
< 0.1%
2804 1
< 0.1%
2785 1
< 0.1%
2730 1
< 0.1%
2583 1
< 0.1%

Att
Real number (ℝ)

Distinct1685
Distinct (%)33.1%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean625.833661
Minimum0
Maximum3456
Zeros30
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:01.866569image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q1132.25
median464
Q3982.75
95-th percentile1770.75
Maximum3456
Range3456
Interquartile range (IQR)850.5

Descriptive statistics

Standard deviation580.3988679
Coefficient of variation (CV)0.9274011675
Kurtosis0.7360493614
Mean625.833661
Median Absolute Deviation (MAD)384
Skewness1.062013481
Sum3182990
Variance336862.8459
MonotonicityNot monotonic
2023-06-19T10:34:02.056591image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 36
 
0.6%
6 30
 
0.5%
0 30
 
0.5%
2 29
 
0.5%
1 28
 
0.5%
4 25
 
0.4%
3 23
 
0.4%
11 22
 
0.4%
10 21
 
0.4%
14 19
 
0.3%
Other values (1675) 4823
86.7%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 30
0.5%
1 28
0.5%
2 29
0.5%
3 23
0.4%
4 25
0.4%
ValueCountFrequency (%)
3456 1
< 0.1%
3229 1
< 0.1%
3133 1
< 0.1%
3053 1
< 0.1%
3049 1
< 0.1%

Cmp%
Real number (ℝ)

Distinct505
Distinct (%)10.0%
Missing510
Missing (%)9.2%
Infinite0
Infinite (%)0.0%
Mean74.35979035
Minimum0
Maximum100
Zeros12
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:02.266123image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile55.1
Q168.5
median75.4
Q381.7
95-th percentile89.5
Maximum100
Range100
Interquartile range (IQR)13.2

Descriptive statistics

Standard deviation11.2945295
Coefficient of variation (CV)0.1518902817
Kurtosis5.038335655
Mean74.35979035
Median Absolute Deviation (MAD)6.6
Skewness-1.226419929
Sum375963.1
Variance127.5663967
MonotonicityNot monotonic
2023-06-19T10:34:02.456661image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 73
 
1.3%
66.7 56
 
1.0%
75 47
 
0.8%
79.7 38
 
0.7%
50 37
 
0.7%
80 35
 
0.6%
83.3 34
 
0.6%
60 34
 
0.6%
70 33
 
0.6%
71.4 33
 
0.6%
Other values (495) 4636
83.3%
(Missing) 510
 
9.2%
ValueCountFrequency (%)
0 12
0.2%
16.7 1
 
< 0.1%
22.2 1
 
< 0.1%
25 4
 
0.1%
28.6 2
 
< 0.1%
ValueCountFrequency (%)
100 73
1.3%
98.8 1
 
< 0.1%
97.3 1
 
< 0.1%
96.6 1
 
< 0.1%
96.2 2
 
< 0.1%

TotDist
Real number (ℝ)

Distinct4183
Distinct (%)82.2%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean8698.545419
Minimum0
Maximum54836
Zeros42
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:02.657060image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile103
Q11572.5
median5602.5
Q313585
95-th percentile26134.25
Maximum54836
Range54836
Interquartile range (IQR)12012.5

Descriptive statistics

Standard deviation8851.111007
Coefficient of variation (CV)1.017539207
Kurtosis1.529475032
Mean8698.545419
Median Absolute Deviation (MAD)4872.5
Skewness1.300257669
Sum44240802
Variance78342166.06
MonotonicityNot monotonic
2023-06-19T10:34:02.836557image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 42
 
0.8%
51 8
 
0.1%
299 8
 
0.1%
352 6
 
0.1%
16 6
 
0.1%
28 5
 
0.1%
40 5
 
0.1%
63 5
 
0.1%
165 5
 
0.1%
52 5
 
0.1%
Other values (4173) 4991
89.7%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 42
0.8%
3 1
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
6 2
 
< 0.1%
ValueCountFrequency (%)
54836 1
< 0.1%
54677 1
< 0.1%
53712 1
< 0.1%
51783 1
< 0.1%
51483 1
< 0.1%

PrgDist
Real number (ℝ)

MISSING  ZEROS 

Distinct3328
Distinct (%)65.4%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean3311.091427
Minimum0
Maximum34495
Zeros91
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:03.047051image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile22
Q1431
median1734
Q34851.75
95-th percentile11320.25
Maximum34495
Range34495
Interquartile range (IQR)4420.75

Descriptive statistics

Standard deviation4094.841713
Coefficient of variation (CV)1.236704513
Kurtosis5.806397235
Mean3311.091427
Median Absolute Deviation (MAD)1565
Skewness2.130005362
Sum16840211
Variance16767728.65
MonotonicityNot monotonic
2023-06-19T10:34:03.246934image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 91
 
1.6%
5 15
 
0.3%
1 14
 
0.3%
31 12
 
0.2%
11 11
 
0.2%
8 11
 
0.2%
22 10
 
0.2%
28 10
 
0.2%
6 10
 
0.2%
158 9
 
0.2%
Other values (3318) 4893
87.9%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 91
1.6%
1 14
 
0.3%
2 6
 
0.1%
3 6
 
0.1%
4 8
 
0.1%
ValueCountFrequency (%)
34495 1
< 0.1%
30791 1
< 0.1%
27255 1
< 0.1%
27053 1
< 0.1%
25696 1
< 0.1%

Cmp.1
Real number (ℝ)

MISSING  ZEROS 

Distinct809
Distinct (%)15.9%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean214.3057413
Minimum0
Maximum1611
Zeros98
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:03.456855image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q140
median145.5
Q3327
95-th percentile659.75
Maximum1611
Range1611
Interquartile range (IQR)287

Descriptive statistics

Standard deviation218.7585504
Coefficient of variation (CV)1.020777834
Kurtosis2.43839632
Mean214.3057413
Median Absolute Deviation (MAD)123.5
Skewness1.458649709
Sum1089959
Variance47855.30336
MonotonicityNot monotonic
2023-06-19T10:34:03.646620image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 98
 
1.8%
1 90
 
1.6%
2 76
 
1.4%
3 56
 
1.0%
5 54
 
1.0%
4 47
 
0.8%
7 42
 
0.8%
10 42
 
0.8%
9 42
 
0.8%
8 42
 
0.8%
Other values (799) 4497
80.8%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 98
1.8%
1 90
1.6%
2 76
1.4%
3 56
1.0%
4 47
0.8%
ValueCountFrequency (%)
1611 1
< 0.1%
1557 1
< 0.1%
1392 1
< 0.1%
1278 1
< 0.1%
1265 1
< 0.1%

Att.1
Real number (ℝ)

MISSING  ZEROS 

Distinct889
Distinct (%)17.5%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean247.4066064
Minimum0
Maximum1729
Zeros79
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:03.976738image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q148
median173
Q3383
95-th percentile738.75
Maximum1729
Range1729
Interquartile range (IQR)335

Descriptive statistics

Standard deviation244.8825598
Coefficient of variation (CV)0.9897979821
Kurtosis1.842660739
Mean247.4066064
Median Absolute Deviation (MAD)147
Skewness1.323089566
Sum1258310
Variance59967.46807
MonotonicityNot monotonic
2023-06-19T10:34:04.166003image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 82
 
1.5%
0 79
 
1.4%
2 65
 
1.2%
3 54
 
1.0%
7 47
 
0.8%
9 45
 
0.8%
4 43
 
0.8%
5 43
 
0.8%
6 38
 
0.7%
8 36
 
0.6%
Other values (879) 4554
81.8%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 79
1.4%
1 82
1.5%
2 65
1.2%
3 54
1.0%
4 43
0.8%
ValueCountFrequency (%)
1729 1
< 0.1%
1687 1
< 0.1%
1511 1
< 0.1%
1381 1
< 0.1%
1368 1
< 0.1%

Cmp%.1
Real number (ℝ)

Distinct408
Distinct (%)8.1%
Missing559
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean85.32590373
Minimum0
Maximum100
Zeros19
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:04.386743image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile67.1
Q181.5
median86.9
Q391.2
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)9.7

Descriptive statistics

Standard deviation10.96495516
Coefficient of variation (CV)0.1285067569
Kurtosis15.1007729
Mean85.32590373
Median Absolute Deviation (MAD)4.8
Skewness-2.641800166
Sum427226.8
Variance120.2302418
MonotonicityNot monotonic
2023-06-19T10:34:04.577004image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 457
 
8.2%
83.3 63
 
1.1%
87.5 56
 
1.0%
85.7 48
 
0.9%
66.7 47
 
0.8%
80 46
 
0.8%
88.9 45
 
0.8%
89.2 44
 
0.8%
84.6 43
 
0.8%
75 39
 
0.7%
Other values (398) 4119
74.0%
(Missing) 559
 
10.0%
ValueCountFrequency (%)
0 19
0.3%
20 1
 
< 0.1%
25 2
 
< 0.1%
31.3 1
 
< 0.1%
33.3 9
0.2%
ValueCountFrequency (%)
100 457
8.2%
99.6 1
 
< 0.1%
99.5 2
 
< 0.1%
99.4 3
 
0.1%
99.3 2
 
< 0.1%

Cmp.2
Real number (ℝ)

MISSING  ZEROS 

Distinct778
Distinct (%)15.3%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean192.2799843
Minimum0
Maximum1477
Zeros112
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:04.774012image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q132
median117
Q3288.5
95-th percentile604
Maximum1477
Range1477
Interquartile range (IQR)256.5

Descriptive statistics

Standard deviation209.2676481
Coefficient of variation (CV)1.088348581
Kurtosis3.328707986
Mean192.2799843
Median Absolute Deviation (MAD)103
Skewness1.649441407
Sum977936
Variance43792.94854
MonotonicityNot monotonic
2023-06-19T10:34:04.966112image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 120
 
2.2%
0 112
 
2.0%
2 86
 
1.5%
3 64
 
1.1%
5 55
 
1.0%
6 49
 
0.9%
4 49
 
0.9%
9 46
 
0.8%
8 44
 
0.8%
12 44
 
0.8%
Other values (768) 4417
79.4%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 112
2.0%
1 120
2.2%
2 86
1.5%
3 64
1.1%
4 49
0.9%
ValueCountFrequency (%)
1477 1
< 0.1%
1397 1
< 0.1%
1353 1
< 0.1%
1312 1
< 0.1%
1308 1
< 0.1%

Att.2
Real number (ℝ)

MISSING  ZEROS 

Distinct870
Distinct (%)17.1%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean231.9927251
Minimum0
Maximum1578
Zeros84
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:05.173947image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q142
median152
Q3353
95-th percentile703.75
Maximum1578
Range1578
Interquartile range (IQR)311

Descriptive statistics

Standard deviation239.0531942
Coefficient of variation (CV)1.030434011
Kurtosis2.208849189
Mean231.9927251
Median Absolute Deviation (MAD)130
Skewness1.429945714
Sum1179915
Variance57146.42964
MonotonicityNot monotonic
2023-06-19T10:34:05.366010image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 87
 
1.6%
0 84
 
1.5%
2 81
 
1.5%
3 62
 
1.1%
5 54
 
1.0%
4 51
 
0.9%
8 41
 
0.7%
7 38
 
0.7%
9 38
 
0.7%
16 36
 
0.6%
Other values (860) 4514
81.1%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 84
1.5%
1 87
1.6%
2 81
1.5%
3 62
1.1%
4 51
0.9%
ValueCountFrequency (%)
1578 1
< 0.1%
1527 1
< 0.1%
1464 1
< 0.1%
1422 1
< 0.1%
1382 1
< 0.1%

Cmp%.2
Real number (ℝ)

Distinct508
Distinct (%)10.2%
Missing564
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean79.48844462
Minimum0
Maximum100
Zeros28
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:05.576905image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile55.315
Q171.925
median80.9
Q389.3
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)17.375

Descriptive statistics

Standard deviation14.21781661
Coefficient of variation (CV)0.1788664589
Kurtosis5.133053854
Mean79.48844462
Median Absolute Deviation (MAD)8.6
Skewness-1.455680457
Sum397601.2
Variance202.1463092
MonotonicityNot monotonic
2023-06-19T10:34:05.766704image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 281
 
5.0%
50 73
 
1.3%
75 66
 
1.2%
66.7 63
 
1.1%
80 46
 
0.8%
83.3 41
 
0.7%
71.4 39
 
0.7%
85.7 37
 
0.7%
87.5 32
 
0.6%
62.5 31
 
0.6%
Other values (498) 4293
77.1%
(Missing) 564
 
10.1%
ValueCountFrequency (%)
0 28
0.5%
12.5 1
 
< 0.1%
20 2
 
< 0.1%
20.8 1
 
< 0.1%
25 7
 
0.1%
ValueCountFrequency (%)
100 281
5.0%
99.8 1
 
< 0.1%
99.6 3
 
0.1%
99.5 7
 
0.1%
99.4 6
 
0.1%

Cmp.3
Real number (ℝ)

MISSING  ZEROS 

Distinct351
Distinct (%)6.9%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean58.06095163
Minimum0
Maximum574
Zeros381
Zeros (%)6.8%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:05.966592image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median29
Q381
95-th percentile215.75
Maximum574
Range574
Interquartile range (IQR)74

Descriptive statistics

Standard deviation74.44860053
Coefficient of variation (CV)1.282249058
Kurtosis5.733723177
Mean58.06095163
Median Absolute Deviation (MAD)27
Skewness2.171913292
Sum295298
Variance5542.594121
MonotonicityNot monotonic
2023-06-19T10:34:06.154493image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 381
 
6.8%
1 216
 
3.9%
2 182
 
3.3%
3 159
 
2.9%
4 107
 
1.9%
5 99
 
1.8%
6 90
 
1.6%
10 89
 
1.6%
7 85
 
1.5%
8 84
 
1.5%
Other values (341) 3594
64.6%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 381
6.8%
1 216
3.9%
2 182
3.3%
3 159
2.9%
4 107
 
1.9%
ValueCountFrequency (%)
574 1
< 0.1%
533 1
< 0.1%
524 1
< 0.1%
510 1
< 0.1%
475 1
< 0.1%

Att.3
Real number (ℝ)

MISSING  ZEROS 

Distinct563
Distinct (%)11.1%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean108.5102241
Minimum0
Maximum1435
Zeros248
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:06.356577image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q113
median55
Q3149.75
95-th percentile379.75
Maximum1435
Range1435
Interquartile range (IQR)136.75

Descriptive statistics

Standard deviation145.9562918
Coefficient of variation (CV)1.345092529
Kurtosis10.82752456
Mean108.5102241
Median Absolute Deviation (MAD)50
Skewness2.774732151
Sum551883
Variance21303.23913
MonotonicityNot monotonic
2023-06-19T10:34:06.676847image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 248
 
4.5%
1 176
 
3.2%
3 103
 
1.9%
4 96
 
1.7%
2 92
 
1.7%
6 84
 
1.5%
5 80
 
1.4%
7 67
 
1.2%
12 64
 
1.1%
8 62
 
1.1%
Other values (553) 4014
72.1%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 248
4.5%
1 176
3.2%
2 92
 
1.7%
3 103
1.9%
4 96
 
1.7%
ValueCountFrequency (%)
1435 1
< 0.1%
1274 1
< 0.1%
1130 1
< 0.1%
1111 1
< 0.1%
1059 1
< 0.1%

Cmp%.3
Real number (ℝ)

MISSING  ZEROS 

Distinct595
Distinct (%)12.3%
Missing728
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean54.18311286
Minimum0
Maximum100
Zeros133
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:06.886289image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile26.47
Q143.6
median53.7
Q365.675
95-th percentile83.3
Maximum100
Range100
Interquartile range (IQR)22.075

Descriptive statistics

Standard deviation18.52016748
Coefficient of variation (CV)0.3418070041
Kurtosis1.182887969
Mean54.18311286
Median Absolute Deviation (MAD)10.8
Skewness-0.1668598246
Sum262137.9
Variance342.9966033
MonotonicityNot monotonic
2023-06-19T10:34:07.082012image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50 198
 
3.6%
100 164
 
2.9%
0 133
 
2.4%
66.7 119
 
2.1%
33.3 92
 
1.7%
60 71
 
1.3%
40 64
 
1.1%
75 55
 
1.0%
57.1 51
 
0.9%
25 42
 
0.8%
Other values (585) 3849
69.2%
(Missing) 728
 
13.1%
ValueCountFrequency (%)
0 133
2.4%
8.3 1
 
< 0.1%
11.1 2
 
< 0.1%
11.8 1
 
< 0.1%
12.5 6
 
0.1%
ValueCountFrequency (%)
100 164
2.9%
95.5 1
 
< 0.1%
94.1 1
 
< 0.1%
93.8 1
 
< 0.1%
92.9 2
 
< 0.1%

xA
Real number (ℝ)

MISSING  ZEROS 

Distinct113
Distinct (%)2.2%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean1.198446716
Minimum0
Maximum18.7
Zeros1029
Zeros (%)18.5%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:07.274986image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.1
median0.6
Q31.6
95-th percentile4.6
Maximum18.7
Range18.7
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.701680454
Coefficient of variation (CV)1.419904974
Kurtosis11.79583551
Mean1.198446716
Median Absolute Deviation (MAD)0.6
Skewness2.767464765
Sum6095.3
Variance2.895716368
MonotonicityNot monotonic
2023-06-19T10:34:07.466639image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1029
18.5%
0.1 519
 
9.3%
0.2 319
 
5.7%
0.3 237
 
4.3%
0.5 221
 
4.0%
0.4 210
 
3.8%
0.7 190
 
3.4%
0.6 187
 
3.4%
0.8 145
 
2.6%
1 128
 
2.3%
Other values (103) 1901
34.2%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 1029
18.5%
0.1 519
9.3%
0.2 319
 
5.7%
0.3 237
 
4.3%
0.4 210
 
3.8%
ValueCountFrequency (%)
18.7 1
< 0.1%
16.9 1
< 0.1%
16.4 1
< 0.1%
14.3 1
< 0.1%
14 1
< 0.1%

A-xAG
Real number (ℝ)

MISSING  ZEROS 

Distinct102
Distinct (%)2.0%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean-0.09064097523
Minimum-6.9
Maximum6.4
Zeros1285
Zeros (%)23.1%
Negative2462
Negative (%)44.2%
Memory size43.6 KiB
2023-06-19T10:34:07.671944image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-6.9
5-th percentile-1.7
Q1-0.4
median0
Q30.1
95-th percentile1.6
Maximum6.4
Range13.3
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation1.00248016
Coefficient of variation (CV)-11.05990043
Kurtosis5.612995119
Mean-0.09064097523
Median Absolute Deviation (MAD)0.3
Skewness0.2035583465
Sum-461
Variance1.004966472
MonotonicityNot monotonic
2023-06-19T10:34:07.866560image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1285
23.1%
-0.1 524
 
9.4%
-0.2 260
 
4.7%
-0.3 220
 
4.0%
-0.4 188
 
3.4%
-0.5 183
 
3.3%
-0.6 132
 
2.4%
-0.7 115
 
2.1%
0.6 111
 
2.0%
-0.8 110
 
2.0%
Other values (92) 1958
35.2%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
-6.9 1
< 0.1%
-6.3 1
< 0.1%
-5.6 1
< 0.1%
-5.5 1
< 0.1%
-5 1
< 0.1%
ValueCountFrequency (%)
6.4 1
< 0.1%
6.3 1
< 0.1%
5.8 1
< 0.1%
5.7 2
< 0.1%
5 1
< 0.1%

KP
Real number (ℝ)

MISSING  ZEROS 

Distinct103
Distinct (%)2.0%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean12.61895399
Minimum0
Maximum118
Zeros932
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:08.057048image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q318
95-th percentile46
Maximum118
Range118
Interquartile range (IQR)17

Descriptive statistics

Standard deviation16.34064332
Coefficient of variation (CV)1.294928512
Kurtosis5.829525965
Mean12.61895399
Median Absolute Deviation (MAD)6
Skewness2.149102645
Sum64180
Variance267.016624
MonotonicityNot monotonic
2023-06-19T10:34:08.256741image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 932
16.7%
1 467
 
8.4%
2 342
 
6.1%
3 252
 
4.5%
5 218
 
3.9%
4 196
 
3.5%
6 177
 
3.2%
8 158
 
2.8%
9 147
 
2.6%
7 140
 
2.5%
Other values (93) 2057
37.0%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 932
16.7%
1 467
8.4%
2 342
 
6.1%
3 252
 
4.5%
4 196
 
3.5%
ValueCountFrequency (%)
118 1
< 0.1%
117 1
< 0.1%
116 1
< 0.1%
112 1
< 0.1%
110 1
< 0.1%

1/3
Real number (ℝ)

MISSING  ZEROS 

Distinct230
Distinct (%)4.5%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean38.06626032
Minimum0
Maximum336
Zeros449
Zeros (%)8.1%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:08.446573image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median22
Q355
95-th percentile128
Maximum336
Range336
Interquartile range (IQR)50

Descriptive statistics

Standard deviation44.5459485
Coefficient of variation (CV)1.170221296
Kurtosis4.838385335
Mean38.06626032
Median Absolute Deviation (MAD)20
Skewness1.931547241
Sum193605
Variance1984.341528
MonotonicityNot monotonic
2023-06-19T10:34:08.636714image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 449
 
8.1%
1 278
 
5.0%
2 176
 
3.2%
3 157
 
2.8%
5 117
 
2.1%
4 114
 
2.0%
12 101
 
1.8%
6 98
 
1.8%
7 95
 
1.7%
11 90
 
1.6%
Other values (220) 3411
61.3%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 449
8.1%
1 278
5.0%
2 176
 
3.2%
3 157
 
2.8%
4 114
 
2.0%
ValueCountFrequency (%)
336 1
< 0.1%
317 1
< 0.1%
316 1
< 0.1%
308 1
< 0.1%
296 1
< 0.1%

PPA
Real number (ℝ)

MISSING  ZEROS 

Distinct90
Distinct (%)1.8%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean9.784113252
Minimum0
Maximum140
Zeros1176
Zeros (%)21.1%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:08.846949image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q314
95-th percentile38
Maximum140
Range140
Interquartile range (IQR)13

Descriptive statistics

Standard deviation13.61902594
Coefficient of variation (CV)1.391953015
Kurtosis10.45726009
Mean9.784113252
Median Absolute Deviation (MAD)4
Skewness2.585560149
Sum49762
Variance185.4778675
MonotonicityNot monotonic
2023-06-19T10:34:09.026554image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1176
21.1%
1 527
 
9.5%
2 346
 
6.2%
3 273
 
4.9%
4 238
 
4.3%
5 204
 
3.7%
6 192
 
3.4%
7 161
 
2.9%
8 137
 
2.5%
9 136
 
2.4%
Other values (80) 1696
30.5%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 1176
21.1%
1 527
9.5%
2 346
 
6.2%
3 273
 
4.9%
4 238
 
4.3%
ValueCountFrequency (%)
140 1
< 0.1%
137 1
< 0.1%
125 1
< 0.1%
123 1
< 0.1%
111 1
< 0.1%

CrsPA
Real number (ℝ)

MISSING  ZEROS 

Distinct42
Distinct (%)0.8%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean2.76071569
Minimum0
Maximum57
Zeros2406
Zeros (%)43.2%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:09.334457image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile13
Maximum57
Range57
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.028215198
Coefficient of variation (CV)1.821344812
Kurtosis14.14111133
Mean2.76071569
Median Absolute Deviation (MAD)1
Skewness3.206421511
Sum14041
Variance25.28294808
MonotonicityNot monotonic
2023-06-19T10:34:09.501727image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 2406
43.2%
1 756
 
13.6%
2 431
 
7.7%
3 300
 
5.4%
4 208
 
3.7%
5 145
 
2.6%
6 140
 
2.5%
7 113
 
2.0%
8 86
 
1.5%
9 77
 
1.4%
Other values (32) 424
 
7.6%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 2406
43.2%
1 756
 
13.6%
2 431
 
7.7%
3 300
 
5.4%
4 208
 
3.7%
ValueCountFrequency (%)
57 1
 
< 0.1%
44 3
0.1%
42 1
 
< 0.1%
40 1
 
< 0.1%
39 1
 
< 0.1%

SCA
Real number (ℝ)

MISSING  ZEROS 

Distinct182
Distinct (%)3.6%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean30.01710578
Minimum0
Maximum243
Zeros484
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:09.751990image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median18
Q344
95-th percentile99.75
Maximum243
Range243
Interquartile range (IQR)40

Descriptive statistics

Standard deviation34.64156543
Coefficient of variation (CV)1.154060811
Kurtosis4.134440992
Mean30.01710578
Median Absolute Deviation (MAD)16
Skewness1.824511803
Sum152667
Variance1200.038055
MonotonicityNot monotonic
2023-06-19T10:34:10.136861image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 484
 
8.7%
1 285
 
5.1%
2 233
 
4.2%
3 174
 
3.1%
4 141
 
2.5%
5 132
 
2.4%
6 121
 
2.2%
7 114
 
2.0%
11 98
 
1.8%
12 97
 
1.7%
Other values (172) 3207
57.6%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 484
8.7%
1 285
5.1%
2 233
4.2%
3 174
 
3.1%
4 141
 
2.5%
ValueCountFrequency (%)
243 1
< 0.1%
238 1
< 0.1%
237 1
< 0.1%
236 1
< 0.1%
226 1
< 0.1%

SCA90
Real number (ℝ)

MISSING  ZEROS 

Distinct616
Distinct (%)12.1%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean2.151456941
Minimum0
Maximum90
Zeros484
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:10.371598image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.75
median1.9
Q32.9875
95-th percentile4.95
Maximum90
Range90
Interquartile range (IQR)2.2375

Descriptive statistics

Standard deviation2.724051226
Coefficient of variation (CV)1.266142573
Kurtosis473.4677671
Mean2.151456941
Median Absolute Deviation (MAD)1.115
Skewness16.45574199
Sum10942.31
Variance7.420455084
MonotonicityNot monotonic
2023-06-19T10:34:10.562088image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 484
 
8.7%
2 36
 
0.6%
1 24
 
0.4%
0.33 24
 
0.4%
1.91 23
 
0.4%
1.67 22
 
0.4%
2.43 21
 
0.4%
2.5 20
 
0.4%
0.67 20
 
0.4%
0.5 20
 
0.4%
Other values (606) 4392
78.9%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 484
8.7%
0.03 4
 
0.1%
0.04 2
 
< 0.1%
0.05 6
 
0.1%
0.06 13
 
0.2%
ValueCountFrequency (%)
90 2
< 0.1%
60 1
 
< 0.1%
30 3
0.1%
22.5 2
< 0.1%
20.77 1
 
< 0.1%

PassLive
Real number (ℝ)

MISSING  ZEROS 

Distinct134
Distinct (%)2.6%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean21.28391663
Minimum0
Maximum170
Zeros582
Zeros (%)10.5%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:10.786788image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median13
Q332
95-th percentile70
Maximum170
Range170
Interquartile range (IQR)29

Descriptive statistics

Standard deviation23.89559405
Coefficient of variation (CV)1.122706617
Kurtosis3.281596722
Mean21.28391663
Median Absolute Deviation (MAD)12
Skewness1.674371407
Sum108250
Variance570.9994148
MonotonicityNot monotonic
2023-06-19T10:34:11.081889image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 582
 
10.5%
1 336
 
6.0%
2 256
 
4.6%
3 200
 
3.6%
4 177
 
3.2%
5 158
 
2.8%
6 136
 
2.4%
7 120
 
2.2%
10 117
 
2.1%
9 111
 
2.0%
Other values (124) 2893
52.0%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 582
10.5%
1 336
6.0%
2 256
4.6%
3 200
 
3.6%
4 177
 
3.2%
ValueCountFrequency (%)
170 1
< 0.1%
153 1
< 0.1%
150 1
< 0.1%
149 1
< 0.1%
145 1
< 0.1%

PassDead
Real number (ℝ)

MISSING  ZEROS 

Distinct60
Distinct (%)1.2%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean2.839166339
Minimum0
Maximum79
Zeros2842
Zeros (%)51.1%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:11.296726image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile16
Maximum79
Range79
Interquartile range (IQR)2

Descriptive statistics

Standard deviation7.112005141
Coefficient of variation (CV)2.504962475
Kurtosis24.10922278
Mean2.839166339
Median Absolute Deviation (MAD)0
Skewness4.414541007
Sum14440
Variance50.58061712
MonotonicityNot monotonic
2023-06-19T10:34:11.496620image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2842
51.1%
1 731
 
13.1%
2 382
 
6.9%
3 206
 
3.7%
4 161
 
2.9%
5 112
 
2.0%
6 79
 
1.4%
7 53
 
1.0%
9 49
 
0.9%
8 48
 
0.9%
Other values (50) 423
 
7.6%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 2842
51.1%
1 731
 
13.1%
2 382
 
6.9%
3 206
 
3.7%
4 161
 
2.9%
ValueCountFrequency (%)
79 1
< 0.1%
70 1
< 0.1%
65 1
< 0.1%
64 2
< 0.1%
61 1
< 0.1%

TO
Real number (ℝ)

MISSING  ZEROS 

Distinct33
Distinct (%)0.6%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean1.797286669
Minimum0
Maximum40
Zeros2697
Zeros (%)48.5%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:11.801857image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile8
Maximum40
Range40
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.39691579
Coefficient of variation (CV)1.890024473
Kurtosis18.63647318
Mean1.797286669
Median Absolute Deviation (MAD)0
Skewness3.566753365
Sum9141
Variance11.53903688
MonotonicityNot monotonic
2023-06-19T10:34:11.981744image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 2697
48.5%
1 807
 
14.5%
2 442
 
7.9%
3 304
 
5.5%
4 189
 
3.4%
5 151
 
2.7%
6 99
 
1.8%
7 85
 
1.5%
8 63
 
1.1%
9 56
 
1.0%
Other values (23) 193
 
3.5%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 2697
48.5%
1 807
 
14.5%
2 442
 
7.9%
3 304
 
5.5%
4 189
 
3.4%
ValueCountFrequency (%)
40 1
< 0.1%
39 1
< 0.1%
32 1
< 0.1%
29 1
< 0.1%
28 2
< 0.1%

Fld
Real number (ℝ)

MISSING  ZEROS 

Distinct27
Distinct (%)0.5%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean1.793354306
Minimum0
Maximum26
Zeros2467
Zeros (%)44.3%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:12.161862image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile7
Maximum26
Range26
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.883916522
Coefficient of variation (CV)1.608113083
Kurtosis9.85563232
Mean1.793354306
Median Absolute Deviation (MAD)1
Skewness2.671696288
Sum9121
Variance8.316974508
MonotonicityNot monotonic
2023-06-19T10:34:12.326751image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 2467
44.3%
1 851
 
15.3%
2 528
 
9.5%
3 329
 
5.9%
4 229
 
4.1%
5 177
 
3.2%
6 151
 
2.7%
7 101
 
1.8%
8 57
 
1.0%
9 50
 
0.9%
Other values (17) 146
 
2.6%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 2467
44.3%
1 851
 
15.3%
2 528
 
9.5%
3 329
 
5.9%
4 229
 
4.1%
ValueCountFrequency (%)
26 1
< 0.1%
25 1
< 0.1%
24 1
< 0.1%
23 1
< 0.1%
22 1
< 0.1%

Def
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)0.2%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean0.4899724735
Minimum0
Maximum8
Zeros3468
Zeros (%)62.3%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:12.476998image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8682070038
Coefficient of variation (CV)1.77195057
Kurtosis5.915767024
Mean0.4899724735
Median Absolute Deviation (MAD)0
Skewness2.203372801
Sum2492
Variance0.7537834014
MonotonicityNot monotonic
2023-06-19T10:34:12.606550image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 3468
62.3%
1 1036
 
18.6%
2 375
 
6.7%
3 144
 
2.6%
4 46
 
0.8%
5 14
 
0.3%
6 2
 
< 0.1%
8 1
 
< 0.1%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 3468
62.3%
1 1036
 
18.6%
2 375
 
6.7%
3 144
 
2.6%
4 46
 
0.8%
ValueCountFrequency (%)
8 1
 
< 0.1%
6 2
 
< 0.1%
5 14
 
0.3%
4 46
 
0.8%
3 144
2.6%

GCA
Real number (ℝ)

MISSING  ZEROS 

Distinct35
Distinct (%)0.7%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean3.042862761
Minimum0
Maximum41
Zeros1847
Zeros (%)33.2%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:12.796902image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile12
Maximum41
Range41
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.336455783
Coefficient of variation (CV)1.425123683
Kurtosis8.826449904
Mean3.042862761
Median Absolute Deviation (MAD)1
Skewness2.471331147
Sum15476
Variance18.80484875
MonotonicityNot monotonic
2023-06-19T10:34:12.956852image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 1847
33.2%
1 780
14.0%
2 558
 
10.0%
3 392
 
7.0%
4 303
 
5.4%
5 215
 
3.9%
6 200
 
3.6%
7 146
 
2.6%
8 117
 
2.1%
9 106
 
1.9%
Other values (25) 422
 
7.6%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 1847
33.2%
1 780
14.0%
2 558
 
10.0%
3 392
 
7.0%
4 303
 
5.4%
ValueCountFrequency (%)
41 1
< 0.1%
38 1
< 0.1%
36 2
< 0.1%
33 1
< 0.1%
32 2
< 0.1%

GCA90
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct146
Distinct (%)2.9%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean0.2233837987
Minimum0
Maximum90
Zeros1847
Zeros (%)33.2%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:13.276944image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.11
Q30.29
95-th percentile0.63
Maximum90
Range90
Interquartile range (IQR)0.29

Descriptive statistics

Standard deviation1.370349299
Coefficient of variation (CV)6.134506204
Kurtosis3641.294679
Mean0.2233837987
Median Absolute Deviation (MAD)0.11
Skewness56.72415282
Sum1136.13
Variance1.877857201
MonotonicityNot monotonic
2023-06-19T10:34:13.457005image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1847
33.2%
0.1 104
 
1.9%
0.14 103
 
1.9%
0.09 98
 
1.8%
0.13 96
 
1.7%
0.06 93
 
1.7%
0.18 84
 
1.5%
0.2 81
 
1.5%
0.07 81
 
1.5%
0.08 81
 
1.5%
Other values (136) 2418
43.4%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 1847
33.2%
0.02 5
 
0.1%
0.03 64
 
1.1%
0.04 63
 
1.1%
0.05 75
 
1.3%
ValueCountFrequency (%)
90 1
 
< 0.1%
18 3
0.1%
9 1
 
< 0.1%
7.5 1
 
< 0.1%
3.91 1
 
< 0.1%

PassLive.1
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)0.5%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean2.035981125
Minimum0
Maximum24
Zeros2162
Zeros (%)38.8%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:13.626903image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile8
Maximum24
Range24
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.95673208
Coefficient of variation (CV)1.452239436
Kurtosis7.236342876
Mean2.035981125
Median Absolute Deviation (MAD)1
Skewness2.340061098
Sum10355
Variance8.742264593
MonotonicityNot monotonic
2023-06-19T10:34:13.786624image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 2162
38.8%
1 881
15.8%
2 601
 
10.8%
3 380
 
6.8%
4 300
 
5.4%
5 212
 
3.8%
6 141
 
2.5%
7 97
 
1.7%
8 84
 
1.5%
9 65
 
1.2%
Other values (15) 163
 
2.9%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 2162
38.8%
1 881
15.8%
2 601
 
10.8%
3 380
 
6.8%
4 300
 
5.4%
ValueCountFrequency (%)
24 1
 
< 0.1%
23 1
 
< 0.1%
22 3
0.1%
21 1
 
< 0.1%
20 1
 
< 0.1%

PassDead.1
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)0.2%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean0.2225717656
Minimum0
Maximum10
Zeros4464
Zeros (%)80.2%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:13.936990image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7686135037
Coefficient of variation (CV)3.453328869
Kurtosis37.73997698
Mean0.2225717656
Median Absolute Deviation (MAD)0
Skewness5.300622915
Sum1132
Variance0.5907667181
MonotonicityNot monotonic
2023-06-19T10:34:14.141675image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 4464
80.2%
1 377
 
6.8%
2 119
 
2.1%
3 61
 
1.1%
4 26
 
0.5%
5 23
 
0.4%
6 8
 
0.1%
10 3
 
0.1%
7 3
 
0.1%
8 2
 
< 0.1%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 4464
80.2%
1 377
 
6.8%
2 119
 
2.1%
3 61
 
1.1%
4 26
 
0.5%
ValueCountFrequency (%)
10 3
 
0.1%
8 2
 
< 0.1%
7 3
 
0.1%
6 8
 
0.1%
5 23
0.4%

TO.1
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)0.2%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean0.2125442391
Minimum0
Maximum10
Zeros4403
Zeros (%)79.1%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:14.276956image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6759296999
Coefficient of variation (CV)3.180183583
Kurtosis37.4881711
Mean0.2125442391
Median Absolute Deviation (MAD)0
Skewness5.072717152
Sum1081
Variance0.4568809592
MonotonicityNot monotonic
2023-06-19T10:34:14.416808image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 4403
79.1%
1 457
 
8.2%
2 135
 
2.4%
3 54
 
1.0%
5 15
 
0.3%
4 13
 
0.2%
6 4
 
0.1%
7 2
 
< 0.1%
8 1
 
< 0.1%
10 1
 
< 0.1%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 4403
79.1%
1 457
 
8.2%
2 135
 
2.4%
3 54
 
1.0%
4 13
 
0.2%
ValueCountFrequency (%)
10 1
 
< 0.1%
9 1
 
< 0.1%
8 1
 
< 0.1%
7 2
< 0.1%
6 4
0.1%

Sh.1
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)0.2%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean0.2872591427
Minimum0
Maximum7
Zeros4064
Zeros (%)73.0%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:14.566500image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6741926805
Coefficient of variation (CV)2.346984239
Kurtosis12.38306613
Mean0.2872591427
Median Absolute Deviation (MAD)0
Skewness3.090923313
Sum1461
Variance0.4545357704
MonotonicityNot monotonic
2023-06-19T10:34:14.686162image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 4064
73.0%
1 720
 
12.9%
2 208
 
3.7%
3 63
 
1.1%
4 22
 
0.4%
5 7
 
0.1%
7 1
 
< 0.1%
6 1
 
< 0.1%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 4064
73.0%
1 720
 
12.9%
2 208
 
3.7%
3 63
 
1.1%
4 22
 
0.4%
ValueCountFrequency (%)
7 1
 
< 0.1%
6 1
 
< 0.1%
5 7
 
0.1%
4 22
 
0.4%
3 63
1.1%

Fld.1
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)0.2%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean0.2426268187
Minimum0
Maximum9
Zeros4203
Zeros (%)75.5%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:14.906024image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.624097934
Coefficient of variation (CV)2.572254532
Kurtosis20.42486834
Mean0.2426268187
Median Absolute Deviation (MAD)0
Skewness3.672477522
Sum1234
Variance0.3894982312
MonotonicityNot monotonic
2023-06-19T10:34:15.026718image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 4203
75.5%
1 641
 
11.5%
2 172
 
3.1%
3 44
 
0.8%
4 18
 
0.3%
5 6
 
0.1%
6 1
 
< 0.1%
9 1
 
< 0.1%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 4203
75.5%
1 641
 
11.5%
2 172
 
3.1%
3 44
 
0.8%
4 18
 
0.3%
ValueCountFrequency (%)
9 1
 
< 0.1%
6 1
 
< 0.1%
5 6
 
0.1%
4 18
0.3%
3 44
0.8%

Def.1
Real number (ℝ)

MISSING  ZEROS 

Distinct4
Distinct (%)0.1%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean0.04187966968
Minimum0
Maximum3
Zeros4885
Zeros (%)87.8%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:15.151953image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2127127914
Coefficient of variation (CV)5.079142052
Kurtosis33.90074447
Mean0.04187966968
Median Absolute Deviation (MAD)0
Skewness5.472414007
Sum213
Variance0.04524673163
MonotonicityNot monotonic
2023-06-19T10:34:15.266678image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 4885
87.8%
1 190
 
3.4%
2 10
 
0.2%
3 1
 
< 0.1%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 4885
87.8%
1 190
 
3.4%
2 10
 
0.2%
3 1
 
< 0.1%
ValueCountFrequency (%)
3 1
 
< 0.1%
2 10
 
0.2%
1 190
 
3.4%
0 4885
87.8%

Tkl
Real number (ℝ)

MISSING  ZEROS 

Distinct122
Distinct (%)2.4%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean21.96578844
Minimum0
Maximum142
Zeros624
Zeros (%)11.2%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:15.441595image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median15
Q334
95-th percentile67
Maximum142
Range142
Interquartile range (IQR)31

Descriptive statistics

Standard deviation22.76429628
Coefficient of variation (CV)1.036352342
Kurtosis1.684017931
Mean21.96578844
Median Absolute Deviation (MAD)14
Skewness1.319709976
Sum111718
Variance518.2131853
MonotonicityNot monotonic
2023-06-19T10:34:15.736736image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 624
 
11.2%
1 337
 
6.1%
2 208
 
3.7%
3 161
 
2.9%
4 152
 
2.7%
5 129
 
2.3%
6 125
 
2.2%
7 120
 
2.2%
9 105
 
1.9%
14 104
 
1.9%
Other values (112) 3021
54.3%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 624
11.2%
1 337
6.1%
2 208
 
3.7%
3 161
 
2.9%
4 152
 
2.7%
ValueCountFrequency (%)
142 2
< 0.1%
129 1
< 0.1%
127 1
< 0.1%
126 1
< 0.1%
125 1
< 0.1%

TklW
Real number (ℝ)

MISSING  ZEROS 

Distinct79
Distinct (%)1.5%
Missing468
Missing (%)8.4%
Infinite0
Infinite (%)0.0%
Mean13.72185171
Minimum0
Maximum98
Zeros813
Zeros (%)14.6%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:15.951869image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median9
Q322
95-th percentile42
Maximum98
Range98
Interquartile range (IQR)20

Descriptive statistics

Standard deviation14.36928242
Coefficient of variation (CV)1.04718246
Kurtosis1.696011207
Mean13.72185171
Median Absolute Deviation (MAD)8
Skewness1.317356353
Sum69954
Variance206.4762774
MonotonicityNot monotonic
2023-06-19T10:34:16.151651image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 813
 
14.6%
1 386
 
6.9%
2 274
 
4.9%
4 201
 
3.6%
3 174
 
3.1%
6 159
 
2.9%
5 150
 
2.7%
9 145
 
2.6%
7 142
 
2.6%
8 135
 
2.4%
Other values (69) 2519
45.3%
(Missing) 468
 
8.4%
ValueCountFrequency (%)
0 813
14.6%
1 386
6.9%
2 274
 
4.9%
3 174
 
3.1%
4 201
 
3.6%
ValueCountFrequency (%)
98 1
< 0.1%
90 1
< 0.1%
89 1
< 0.1%
82 1
< 0.1%
79 1
< 0.1%

Def 3rd
Real number (ℝ)

MISSING  ZEROS 

Distinct72
Distinct (%)1.4%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean10.82913881
Minimum0
Maximum90
Zeros974
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:16.356805image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q317
95-th percentile36
Maximum90
Range90
Interquartile range (IQR)16

Descriptive statistics

Standard deviation12.45619677
Coefficient of variation (CV)1.15024814
Kurtosis2.371239661
Mean10.82913881
Median Absolute Deviation (MAD)6
Skewness1.510353509
Sum55077
Variance155.1568381
MonotonicityNot monotonic
2023-06-19T10:34:16.556681image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 974
17.5%
1 501
 
9.0%
2 302
 
5.4%
3 263
 
4.7%
5 206
 
3.7%
4 199
 
3.6%
6 184
 
3.3%
8 157
 
2.8%
7 149
 
2.7%
9 131
 
2.4%
Other values (62) 2020
36.3%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 974
17.5%
1 501
9.0%
2 302
 
5.4%
3 263
 
4.7%
4 199
 
3.6%
ValueCountFrequency (%)
90 1
< 0.1%
74 1
< 0.1%
73 2
< 0.1%
70 1
< 0.1%
69 2
< 0.1%

Mid 3rd
Real number (ℝ)

MISSING  ZEROS 

Distinct65
Distinct (%)1.3%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean8.751278018
Minimum0
Maximum74
Zeros1047
Zeros (%)18.8%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:16.756951image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q313
95-th percentile29
Maximum74
Range74
Interquartile range (IQR)12

Descriptive statistics

Standard deviation9.973025238
Coefficient of variation (CV)1.139607863
Kurtosis4.022168636
Mean8.751278018
Median Absolute Deviation (MAD)5
Skewness1.773942176
Sum44509
Variance99.46123239
MonotonicityNot monotonic
2023-06-19T10:34:17.092306image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1047
18.8%
1 402
 
7.2%
2 331
 
5.9%
5 259
 
4.7%
4 250
 
4.5%
3 242
 
4.3%
6 234
 
4.2%
7 187
 
3.4%
8 187
 
3.4%
10 169
 
3.0%
Other values (55) 1778
31.9%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 1047
18.8%
1 402
 
7.2%
2 331
 
5.9%
3 242
 
4.3%
4 250
 
4.5%
ValueCountFrequency (%)
74 1
< 0.1%
67 1
< 0.1%
64 2
< 0.1%
63 2
< 0.1%
62 1
< 0.1%

Att 3rd
Real number (ℝ)

MISSING  ZEROS 

Distinct22
Distinct (%)0.4%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean2.385371608
Minimum0
Maximum21
Zeros1928
Zeros (%)34.6%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:17.276840image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile9
Maximum21
Range21
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.043980201
Coefficient of variation (CV)1.276103141
Kurtosis3.221589094
Mean2.385371608
Median Absolute Deviation (MAD)1
Skewness1.708752063
Sum12132
Variance9.265815467
MonotonicityNot monotonic
2023-06-19T10:34:17.411760image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 1928
34.6%
1 816
14.7%
2 575
 
10.3%
3 416
 
7.5%
4 352
 
6.3%
5 267
 
4.8%
6 189
 
3.4%
7 155
 
2.8%
8 105
 
1.9%
9 94
 
1.7%
Other values (12) 189
 
3.4%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 1928
34.6%
1 816
14.7%
2 575
 
10.3%
3 416
 
7.5%
4 352
 
6.3%
ValueCountFrequency (%)
21 1
< 0.1%
20 1
< 0.1%
19 2
< 0.1%
18 2
< 0.1%
17 1
< 0.1%

Tkl.1
Real number (ℝ)

MISSING  ZEROS 

Distinct59
Distinct (%)1.2%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean8.457333858
Minimum0
Maximum69
Zeros1046
Zeros (%)18.8%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:17.586796image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q313
95-th percentile28
Maximum69
Range69
Interquartile range (IQR)12

Descriptive statistics

Standard deviation9.702904728
Coefficient of variation (CV)1.147277013
Kurtosis2.53054648
Mean8.457333858
Median Absolute Deviation (MAD)5
Skewness1.533906206
Sum43014
Variance94.14636017
MonotonicityNot monotonic
2023-06-19T10:34:17.781645image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1046
18.8%
1 527
 
9.5%
2 361
 
6.5%
3 280
 
5.0%
4 246
 
4.4%
5 236
 
4.2%
6 213
 
3.8%
9 160
 
2.9%
7 158
 
2.8%
8 149
 
2.7%
Other values (49) 1710
30.7%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 1046
18.8%
1 527
9.5%
2 361
 
6.5%
3 280
 
5.0%
4 246
 
4.4%
ValueCountFrequency (%)
69 1
< 0.1%
67 2
< 0.1%
57 1
< 0.1%
56 1
< 0.1%
55 1
< 0.1%

Tkl%
Real number (ℝ)

MISSING  ZEROS 

Distinct504
Distinct (%)11.2%
Missing1051
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean40.51466224
Minimum0
Maximum100
Zeros475
Zeros (%)8.5%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:17.986508image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q125
median40
Q355
95-th percentile80
Maximum100
Range100
Interquartile range (IQR)30

Descriptive statistics

Standard deviation23.64806572
Coefficient of variation (CV)0.5836915431
Kurtosis0.07965205829
Mean40.51466224
Median Absolute Deviation (MAD)15
Skewness0.274069878
Sum182923.7
Variance559.2310123
MonotonicityNot monotonic
2023-06-19T10:34:18.186511image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 475
 
8.5%
50 317
 
5.7%
33.3 207
 
3.7%
100 180
 
3.2%
25 123
 
2.2%
66.7 117
 
2.1%
40 81
 
1.5%
20 80
 
1.4%
37.5 69
 
1.2%
28.6 62
 
1.1%
Other values (494) 2804
50.4%
(Missing) 1051
 
18.9%
ValueCountFrequency (%)
0 475
8.5%
4.2 1
 
< 0.1%
4.8 1
 
< 0.1%
5 2
 
< 0.1%
5.3 2
 
< 0.1%
ValueCountFrequency (%)
100 180
3.2%
92.3 1
 
< 0.1%
90 3
 
0.1%
88.9 3
 
0.1%
87.5 3
 
0.1%

Lost
Real number (ℝ)

MISSING  ZEROS 

Distinct73
Distinct (%)1.4%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean11.37160834
Minimum0
Maximum85
Zeros751
Zeros (%)13.5%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:18.386960image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q317
95-th percentile37
Maximum85
Range85
Interquartile range (IQR)15

Descriptive statistics

Standard deviation12.3237678
Coefficient of variation (CV)1.083731292
Kurtosis2.973447912
Mean11.37160834
Median Absolute Deviation (MAD)6
Skewness1.602260857
Sum57836
Variance151.8752528
MonotonicityNot monotonic
2023-06-19T10:34:18.576780image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 751
 
13.5%
1 454
 
8.2%
2 271
 
4.9%
3 259
 
4.7%
4 241
 
4.3%
5 217
 
3.9%
6 184
 
3.3%
10 181
 
3.3%
7 180
 
3.2%
8 165
 
3.0%
Other values (63) 2183
39.2%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 751
13.5%
1 454
8.2%
2 271
 
4.9%
3 259
 
4.7%
4 241
 
4.3%
ValueCountFrequency (%)
85 1
< 0.1%
82 1
< 0.1%
77 1
< 0.1%
75 1
< 0.1%
73 2
< 0.1%

Blocks
Real number (ℝ)

MISSING  ZEROS 

Distinct75
Distinct (%)1.5%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean14.04502556
Minimum0
Maximum80
Zeros846
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:18.766987image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median10
Q322
95-th percentile42.75
Maximum80
Range80
Interquartile range (IQR)20

Descriptive statistics

Standard deviation14.1876086
Coefficient of variation (CV)1.010151853
Kurtosis0.8701685002
Mean14.04502556
Median Absolute Deviation (MAD)9
Skewness1.138831565
Sum71433
Variance201.2882378
MonotonicityNot monotonic
2023-06-19T10:34:18.976985image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 846
 
15.2%
1 352
 
6.3%
2 230
 
4.1%
4 177
 
3.2%
3 173
 
3.1%
8 154
 
2.8%
7 146
 
2.6%
5 142
 
2.6%
6 139
 
2.5%
9 132
 
2.4%
Other values (65) 2595
46.6%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 846
15.2%
1 352
6.3%
2 230
 
4.1%
3 173
 
3.1%
4 177
 
3.2%
ValueCountFrequency (%)
80 1
< 0.1%
74 1
< 0.1%
72 2
< 0.1%
71 1
< 0.1%
70 2
< 0.1%

Pass
Real number (ℝ)

MISSING  ZEROS 

Distinct62
Distinct (%)1.2%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean9.891860008
Minimum0
Maximum74
Zeros957
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:19.181892image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q315
95-th percentile31
Maximum74
Range74
Interquartile range (IQR)14

Descriptive statistics

Standard deviation10.49240511
Coefficient of variation (CV)1.060711039
Kurtosis2.426172324
Mean9.891860008
Median Absolute Deviation (MAD)6
Skewness1.449593128
Sum50310
Variance110.090565
MonotonicityNot monotonic
2023-06-19T10:34:19.366637image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 957
17.2%
1 402
 
7.2%
2 272
 
4.9%
3 228
 
4.1%
5 225
 
4.0%
6 201
 
3.6%
4 199
 
3.6%
8 194
 
3.5%
7 191
 
3.4%
9 159
 
2.9%
Other values (52) 2058
37.0%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 957
17.2%
1 402
7.2%
2 272
 
4.9%
3 228
 
4.1%
4 199
 
3.6%
ValueCountFrequency (%)
74 1
 
< 0.1%
71 1
 
< 0.1%
65 1
 
< 0.1%
59 2
< 0.1%
57 4
0.1%

Int
Real number (ℝ)

MISSING  ZEROS 

Distinct88
Distinct (%)1.7%
Missing468
Missing (%)8.4%
Infinite0
Infinite (%)0.0%
Mean14.18811299
Minimum0
Maximum105
Zeros872
Zeros (%)15.7%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:19.581654image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q322
95-th percentile48
Maximum105
Range105
Interquartile range (IQR)21

Descriptive statistics

Standard deviation16.51979983
Coefficient of variation (CV)1.164340871
Kurtosis2.0318716
Mean14.18811299
Median Absolute Deviation (MAD)8
Skewness1.494033565
Sum72331
Variance272.9037865
MonotonicityNot monotonic
2023-06-19T10:34:19.897875image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 872
 
15.7%
1 439
 
7.9%
2 300
 
5.4%
3 277
 
5.0%
4 189
 
3.4%
5 165
 
3.0%
8 150
 
2.7%
6 148
 
2.7%
7 147
 
2.6%
9 114
 
2.0%
Other values (78) 2297
41.3%
(Missing) 468
 
8.4%
ValueCountFrequency (%)
0 872
15.7%
1 439
7.9%
2 300
 
5.4%
3 277
 
5.0%
4 189
 
3.4%
ValueCountFrequency (%)
105 1
< 0.1%
94 1
< 0.1%
91 1
< 0.1%
90 1
< 0.1%
88 1
< 0.1%

Tkl+Int
Real number (ℝ)

MISSING  ZEROS 

Distinct182
Distinct (%)3.6%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean36.16673221
Minimum0
Maximum225
Zeros468
Zeros (%)8.4%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:20.101578image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median23
Q357
95-th percentile111.75
Maximum225
Range225
Interquartile range (IQR)52

Descriptive statistics

Standard deviation37.55108382
Coefficient of variation (CV)1.038276934
Kurtosis1.100216985
Mean36.16673221
Median Absolute Deviation (MAD)21
Skewness1.222093893
Sum183944
Variance1410.083896
MonotonicityNot monotonic
2023-06-19T10:34:20.290104image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 468
 
8.4%
1 282
 
5.1%
2 204
 
3.7%
3 155
 
2.8%
4 124
 
2.2%
5 112
 
2.0%
6 99
 
1.8%
9 88
 
1.6%
13 85
 
1.5%
8 76
 
1.4%
Other values (172) 3393
61.0%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 468
8.4%
1 282
5.1%
2 204
3.7%
3 155
 
2.8%
4 124
 
2.2%
ValueCountFrequency (%)
225 1
< 0.1%
216 1
< 0.1%
213 1
< 0.1%
193 1
< 0.1%
190 1
< 0.1%

Clr
Real number (ℝ)

MISSING  ZEROS 

Distinct223
Distinct (%)4.4%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean29.77192293
Minimum0
Maximum293
Zeros582
Zeros (%)10.5%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:20.476677image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median13
Q339
95-th percentile123.75
Maximum293
Range293
Interquartile range (IQR)36

Descriptive statistics

Standard deviation41.72646195
Coefficient of variation (CV)1.401537349
Kurtosis6.012204874
Mean29.77192293
Median Absolute Deviation (MAD)12
Skewness2.311359242
Sum151420
Variance1741.097626
MonotonicityNot monotonic
2023-06-19T10:34:20.666099image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 582
 
10.5%
1 325
 
5.8%
2 219
 
3.9%
3 192
 
3.4%
4 166
 
3.0%
5 164
 
2.9%
6 161
 
2.9%
7 141
 
2.5%
8 131
 
2.4%
9 123
 
2.2%
Other values (213) 2882
51.8%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 582
10.5%
1 325
5.8%
2 219
 
3.9%
3 192
 
3.4%
4 166
 
3.0%
ValueCountFrequency (%)
293 1
< 0.1%
277 1
< 0.1%
263 1
< 0.1%
260 1
< 0.1%
254 2
< 0.1%

Err
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)0.2%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean0.4618560755
Minimum0
Maximum10
Zeros3658
Zeros (%)65.7%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:20.831584image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum10
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9327537263
Coefficient of variation (CV)2.019576608
Kurtosis11.27162328
Mean0.4618560755
Median Absolute Deviation (MAD)0
Skewness2.884876961
Sum2349
Variance0.870029514
MonotonicityNot monotonic
2023-06-19T10:34:20.966467image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 3658
65.7%
1 889
 
16.0%
2 324
 
5.8%
3 114
 
2.0%
4 63
 
1.1%
5 19
 
0.3%
6 14
 
0.3%
7 3
 
0.1%
8 1
 
< 0.1%
10 1
 
< 0.1%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 3658
65.7%
1 889
 
16.0%
2 324
 
5.8%
3 114
 
2.0%
4 63
 
1.1%
ValueCountFrequency (%)
10 1
 
< 0.1%
8 1
 
< 0.1%
7 3
 
0.1%
6 14
0.3%
5 19
0.3%

Touches
Real number (ℝ)

Distinct1923
Distinct (%)37.8%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean772.8572552
Minimum0
Maximum3864
Zeros17
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:21.146573image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14
Q1176
median602
Q31218
95-th percentile2096.5
Maximum3864
Range3864
Interquartile range (IQR)1042

Descriptive statistics

Standard deviation685.0017207
Coefficient of variation (CV)0.8863237242
Kurtosis0.2565830929
Mean772.8572552
Median Absolute Deviation (MAD)486.5
Skewness0.9124770825
Sum3930752
Variance469227.3574
MonotonicityNot monotonic
2023-06-19T10:34:21.336737image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 29
 
0.5%
6 26
 
0.5%
5 21
 
0.4%
2 21
 
0.4%
1 20
 
0.4%
3 19
 
0.3%
19 18
 
0.3%
37 18
 
0.3%
22 17
 
0.3%
0 17
 
0.3%
Other values (1913) 4880
87.7%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 17
0.3%
1 20
0.4%
2 21
0.4%
3 19
0.3%
4 16
0.3%
ValueCountFrequency (%)
3864 1
< 0.1%
3568 1
< 0.1%
3451 1
< 0.1%
3418 1
< 0.1%
3410 1
< 0.1%

Def Pen
Real number (ℝ)

MISSING  ZEROS 

Distinct479
Distinct (%)9.4%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean75.85509241
Minimum0
Maximum1495
Zeros454
Zeros (%)8.2%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:21.546908image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median21
Q367
95-th percentile267.75
Maximum1495
Range1495
Interquartile range (IQR)62

Descriptive statistics

Standard deviation174.6841984
Coefficient of variation (CV)2.302867122
Kurtosis21.98443971
Mean75.85509241
Median Absolute Deviation (MAD)20
Skewness4.507800059
Sum385799
Variance30514.56916
MonotonicityNot monotonic
2023-06-19T10:34:21.736652image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 454
 
8.2%
1 248
 
4.5%
4 170
 
3.1%
2 168
 
3.0%
3 139
 
2.5%
5 139
 
2.5%
6 126
 
2.3%
9 122
 
2.2%
7 114
 
2.0%
8 108
 
1.9%
Other values (469) 3298
59.3%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 454
8.2%
1 248
4.5%
2 168
 
3.0%
3 139
 
2.5%
4 170
 
3.1%
ValueCountFrequency (%)
1495 1
< 0.1%
1487 1
< 0.1%
1431 1
< 0.1%
1386 1
< 0.1%
1271 1
< 0.1%

Att Pen
Real number (ℝ)

MISSING  ZEROS 

Distinct204
Distinct (%)4.0%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean26.21529689
Minimum0
Maximum298
Zeros809
Zeros (%)14.5%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:21.956786image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median13
Q334
95-th percentile103.75
Maximum298
Range298
Interquartile range (IQR)32

Descriptive statistics

Standard deviation36.35138046
Coefficient of variation (CV)1.386647674
Kurtosis7.936751655
Mean26.21529689
Median Absolute Deviation (MAD)12
Skewness2.49528936
Sum133331
Variance1321.422861
MonotonicityNot monotonic
2023-06-19T10:34:22.236705image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 809
 
14.5%
1 285
 
5.1%
2 213
 
3.8%
3 191
 
3.4%
4 141
 
2.5%
5 129
 
2.3%
6 129
 
2.3%
9 120
 
2.2%
7 111
 
2.0%
11 107
 
1.9%
Other values (194) 2851
51.2%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 809
14.5%
1 285
 
5.1%
2 213
 
3.8%
3 191
 
3.4%
4 141
 
2.5%
ValueCountFrequency (%)
298 1
< 0.1%
287 1
< 0.1%
278 1
< 0.1%
272 1
< 0.1%
264 1
< 0.1%

Live
Real number (ℝ)

Distinct1919
Distinct (%)37.7%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean772.6437279
Minimum0
Maximum3863
Zeros17
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:22.514126image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14
Q1176
median602
Q31217.75
95-th percentile2096.25
Maximum3863
Range3863
Interquartile range (IQR)1041.75

Descriptive statistics

Standard deviation684.8513032
Coefficient of variation (CV)0.886373989
Kurtosis0.2574079884
Mean772.6437279
Median Absolute Deviation (MAD)486.5
Skewness0.9127587217
Sum3929666
Variance469021.3075
MonotonicityNot monotonic
2023-06-19T10:34:22.841814image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 29
 
0.5%
6 26
 
0.5%
5 21
 
0.4%
2 21
 
0.4%
1 20
 
0.4%
3 19
 
0.3%
37 18
 
0.3%
19 18
 
0.3%
0 17
 
0.3%
22 17
 
0.3%
Other values (1909) 4880
87.7%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 17
0.3%
1 20
0.4%
2 21
0.4%
3 19
0.3%
4 16
0.3%
ValueCountFrequency (%)
3863 1
< 0.1%
3567 1
< 0.1%
3450 1
< 0.1%
3418 1
< 0.1%
3410 1
< 0.1%

Succ
Real number (ℝ)

MISSING  ZEROS 

Distinct104
Distinct (%)2.0%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean11.31753834
Minimum0
Maximum144
Zeros1049
Zeros (%)18.8%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:23.046509image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q315
95-th percentile43.75
Maximum144
Range144
Interquartile range (IQR)14

Descriptive statistics

Standard deviation15.76178478
Coefficient of variation (CV)1.39268667
Kurtosis9.898089166
Mean11.31753834
Median Absolute Deviation (MAD)5
Skewness2.61789879
Sum57561
Variance248.4338595
MonotonicityNot monotonic
2023-06-19T10:34:23.246236image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1049
18.8%
1 503
 
9.0%
2 332
 
6.0%
3 264
 
4.7%
4 229
 
4.1%
5 214
 
3.8%
6 171
 
3.1%
7 152
 
2.7%
8 146
 
2.6%
9 138
 
2.5%
Other values (94) 1888
33.9%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 1049
18.8%
1 503
9.0%
2 332
 
6.0%
3 264
 
4.7%
4 229
 
4.1%
ValueCountFrequency (%)
144 1
< 0.1%
143 1
< 0.1%
137 1
< 0.1%
134 1
< 0.1%
123 1
< 0.1%

Succ%
Real number (ℝ)

MISSING  ZEROS 

Distinct451
Distinct (%)10.5%
Missing1287
Missing (%)23.1%
Infinite0
Infinite (%)0.0%
Mean59.00301472
Minimum0
Maximum100
Zeros242
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:23.456580image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q147.1
median58.8
Q373.3
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)26.2

Descriptive statistics

Standard deviation24.40583516
Coefficient of variation (CV)0.4136370874
Kurtosis0.2656263317
Mean59.00301472
Median Absolute Deviation (MAD)13
Skewness-0.343532762
Sum252473.9
Variance595.6447899
MonotonicityNot monotonic
2023-06-19T10:34:23.646587image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 508
 
9.1%
50 340
 
6.1%
0 242
 
4.3%
66.7 214
 
3.8%
33.3 119
 
2.1%
60 116
 
2.1%
75 111
 
2.0%
80 80
 
1.4%
57.1 71
 
1.3%
40 60
 
1.1%
Other values (441) 2418
43.4%
(Missing) 1287
23.1%
ValueCountFrequency (%)
0 242
4.3%
9.1 1
 
< 0.1%
11.1 1
 
< 0.1%
12.5 2
 
< 0.1%
14.3 3
 
0.1%
ValueCountFrequency (%)
100 508
9.1%
95 1
 
< 0.1%
94.7 1
 
< 0.1%
94.4 1
 
< 0.1%
94.1 1
 
< 0.1%

Tkld
Real number (ℝ)

MISSING  ZEROS 

Distinct88
Distinct (%)1.7%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean8.470703893
Minimum0
Maximum111
Zeros1316
Zeros (%)23.6%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:23.846613image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q311
95-th percentile35
Maximum111
Range111
Interquartile range (IQR)11

Descriptive statistics

Standard deviation12.62931253
Coefficient of variation (CV)1.490940149
Kurtosis10.17563943
Mean8.470703893
Median Absolute Deviation (MAD)3
Skewness2.725403836
Sum43082
Variance159.4995349
MonotonicityNot monotonic
2023-06-19T10:34:24.031612image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1316
23.6%
1 580
 
10.4%
2 391
 
7.0%
3 296
 
5.3%
4 237
 
4.3%
5 191
 
3.4%
6 179
 
3.2%
7 157
 
2.8%
8 145
 
2.6%
10 121
 
2.2%
Other values (78) 1473
26.5%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 1316
23.6%
1 580
10.4%
2 391
 
7.0%
3 296
 
5.3%
4 237
 
4.3%
ValueCountFrequency (%)
111 1
< 0.1%
109 1
< 0.1%
102 1
< 0.1%
101 1
< 0.1%
94 2
< 0.1%

Tkld%
Real number (ℝ)

MISSING  ZEROS 

Distinct448
Distinct (%)10.5%
Missing1287
Missing (%)23.1%
Infinite0
Infinite (%)0.0%
Mean40.9367843
Minimum0
Maximum100
Zeros509
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:24.226815image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q126.7
median41.2
Q352.9
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)26.2

Descriptive statistics

Standard deviation24.38382887
Coefficient of variation (CV)0.595645928
Kurtosis0.2729526364
Mean40.9367843
Median Absolute Deviation (MAD)12.8
Skewness0.3458819611
Sum175168.5
Variance594.5711104
MonotonicityNot monotonic
2023-06-19T10:34:24.421879image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 509
 
9.1%
50 338
 
6.1%
100 241
 
4.3%
33.3 216
 
3.9%
66.7 119
 
2.1%
40 115
 
2.1%
25 111
 
2.0%
20 81
 
1.5%
42.9 71
 
1.3%
60 61
 
1.1%
Other values (438) 2417
43.4%
(Missing) 1287
23.1%
ValueCountFrequency (%)
0 509
9.1%
5 1
 
< 0.1%
5.3 1
 
< 0.1%
5.6 1
 
< 0.1%
5.9 1
 
< 0.1%
ValueCountFrequency (%)
100 241
4.3%
90.9 1
 
< 0.1%
88.9 1
 
< 0.1%
87.5 2
 
< 0.1%
85.7 3
 
0.1%

Carries
Real number (ℝ)

Distinct1263
Distinct (%)24.8%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean411.4003146
Minimum0
Maximum2510
Zeros40
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:24.611950image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q194
median313
Q3626
95-th percentile1147.25
Maximum2510
Range2510
Interquartile range (IQR)532

Descriptive statistics

Standard deviation379.1726752
Coefficient of variation (CV)0.9216635518
Kurtosis1.203482216
Mean411.4003146
Median Absolute Deviation (MAD)251
Skewness1.150630307
Sum2092382
Variance143771.9176
MonotonicityNot monotonic
2023-06-19T10:34:24.812177image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 40
 
0.7%
1 39
 
0.7%
4 35
 
0.6%
3 33
 
0.6%
5 32
 
0.6%
2 31
 
0.6%
11 29
 
0.5%
9 28
 
0.5%
6 27
 
0.5%
14 26
 
0.5%
Other values (1253) 4766
85.6%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 40
0.7%
1 39
0.7%
2 31
0.6%
3 33
0.6%
4 35
0.6%
ValueCountFrequency (%)
2510 1
< 0.1%
2252 1
< 0.1%
2130 1
< 0.1%
2038 1
< 0.1%
2005 1
< 0.1%

CPA
Real number (ℝ)

MISSING  ZEROS 

Distinct81
Distinct (%)1.6%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean5.459496657
Minimum0
Maximum108
Zeros1854
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:25.004453image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile25
Maximum108
Range108
Interquartile range (IQR)6

Descriptive statistics

Standard deviation10.36083652
Coefficient of variation (CV)1.897764056
Kurtosis20.24714567
Mean5.459496657
Median Absolute Deviation (MAD)1
Skewness3.828227391
Sum27767
Variance107.3469334
MonotonicityNot monotonic
2023-06-19T10:34:25.206576image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1854
33.3%
1 751
13.5%
2 430
 
7.7%
3 281
 
5.0%
4 234
 
4.2%
5 176
 
3.2%
6 150
 
2.7%
7 118
 
2.1%
8 112
 
2.0%
9 100
 
1.8%
Other values (71) 880
15.8%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 1854
33.3%
1 751
13.5%
2 430
 
7.7%
3 281
 
5.0%
4 234
 
4.2%
ValueCountFrequency (%)
108 1
< 0.1%
105 1
< 0.1%
104 1
< 0.1%
100 1
< 0.1%
96 1
< 0.1%

Mis
Real number (ℝ)

MISSING  ZEROS 

Distinct126
Distinct (%)2.5%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean19.82324027
Minimum0
Maximum171
Zeros621
Zeros (%)11.2%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:25.396826image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median12
Q329
95-th percentile68
Maximum171
Range171
Interquartile range (IQR)26

Descriptive statistics

Standard deviation22.83844373
Coefficient of variation (CV)1.15210447
Kurtosis3.373056468
Mean19.82324027
Median Absolute Deviation (MAD)11
Skewness1.731603225
Sum100821
Variance521.5945119
MonotonicityNot monotonic
2023-06-19T10:34:25.590518image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 621
 
11.2%
1 332
 
6.0%
2 274
 
4.9%
3 200
 
3.6%
4 189
 
3.4%
5 170
 
3.1%
6 153
 
2.7%
7 132
 
2.4%
8 130
 
2.3%
9 114
 
2.0%
Other values (116) 2771
49.8%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 621
11.2%
1 332
6.0%
2 274
4.9%
3 200
 
3.6%
4 189
 
3.4%
ValueCountFrequency (%)
171 1
< 0.1%
149 1
< 0.1%
147 1
< 0.1%
139 1
< 0.1%
137 1
< 0.1%

Dis
Real number (ℝ)

MISSING  ZEROS 

Distinct103
Distinct (%)2.0%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean13.50196618
Minimum0
Maximum143
Zeros948
Zeros (%)17.0%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:25.806712image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q320
95-th percentile48
Maximum143
Range143
Interquartile range (IQR)19

Descriptive statistics

Standard deviation16.88067603
Coefficient of variation (CV)1.250238358
Kurtosis4.939813973
Mean13.50196618
Median Absolute Deviation (MAD)7
Skewness1.973916602
Sum68671
Variance284.9572233
MonotonicityNot monotonic
2023-06-19T10:34:26.137060image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 948
17.0%
1 372
 
6.7%
2 331
 
5.9%
4 259
 
4.7%
3 233
 
4.2%
5 175
 
3.1%
7 161
 
2.9%
6 161
 
2.9%
9 133
 
2.4%
10 124
 
2.2%
Other values (93) 2189
39.3%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 948
17.0%
1 372
 
6.7%
2 331
 
5.9%
3 233
 
4.2%
4 259
 
4.7%
ValueCountFrequency (%)
143 1
< 0.1%
119 1
< 0.1%
114 1
< 0.1%
110 2
< 0.1%
106 2
< 0.1%

Rec
Real number (ℝ)

Distinct1402
Distinct (%)27.6%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean477.14884
Minimum0
Maximum2697
Zeros34
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:26.338253image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q1108
median361
Q3735
95-th percentile1341.5
Maximum2697
Range2697
Interquartile range (IQR)627

Descriptive statistics

Standard deviation444.7335712
Coefficient of variation (CV)0.9320646598
Kurtosis1.22364222
Mean477.14884
Median Absolute Deviation (MAD)290
Skewness1.172771625
Sum2426779
Variance197787.9493
MonotonicityNot monotonic
2023-06-19T10:34:26.536842image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 44
 
0.8%
1 36
 
0.6%
0 34
 
0.6%
2 32
 
0.6%
7 31
 
0.6%
3 28
 
0.5%
10 25
 
0.4%
8 25
 
0.4%
11 23
 
0.4%
9 21
 
0.4%
Other values (1392) 4787
86.0%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 34
0.6%
1 36
0.6%
2 32
0.6%
3 28
0.5%
4 21
0.4%
ValueCountFrequency (%)
2697 1
< 0.1%
2632 1
< 0.1%
2617 1
< 0.1%
2421 1
< 0.1%
2328 1
< 0.1%

2CrdY
Real number (ℝ)

Distinct3
Distinct (%)0.1%
Missing10
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.06371490281
Minimum0
Maximum2
Zeros5229
Zeros (%)93.9%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:26.696661image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2634141703
Coefficient of variation (CV)4.134263079
Kurtosis19.83695939
Mean0.06371490281
Median Absolute Deviation (MAD)0
Skewness4.343925172
Sum354
Variance0.0693870251
MonotonicityNot monotonic
2023-06-19T10:34:26.836600image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 5229
93.9%
1 300
 
5.4%
2 27
 
0.5%
(Missing) 10
 
0.2%
ValueCountFrequency (%)
0 5229
93.9%
1 300
 
5.4%
2 27
 
0.5%
ValueCountFrequency (%)
2 27
 
0.5%
1 300
 
5.4%
0 5229
93.9%

Fls
Real number (ℝ)

MISSING  ZEROS 

Distinct88
Distinct (%)1.7%
Missing468
Missing (%)8.4%
Infinite0
Infinite (%)0.0%
Mean17.09062377
Minimum0
Maximum120
Zeros617
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:27.016884image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median13
Q326
95-th percentile48
Maximum120
Range120
Interquartile range (IQR)23

Descriptive statistics

Standard deviation16.27008731
Coefficient of variation (CV)0.9519890861
Kurtosis1.58898252
Mean17.09062377
Median Absolute Deviation (MAD)11
Skewness1.183284866
Sum87128
Variance264.715741
MonotonicityNot monotonic
2023-06-19T10:34:27.236842image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 617
 
11.1%
1 346
 
6.2%
2 208
 
3.7%
3 168
 
3.0%
4 150
 
2.7%
5 140
 
2.5%
13 138
 
2.5%
6 131
 
2.4%
8 127
 
2.3%
15 119
 
2.1%
Other values (78) 2954
53.1%
(Missing) 468
 
8.4%
ValueCountFrequency (%)
0 617
11.1%
1 346
6.2%
2 208
 
3.7%
3 168
 
3.0%
4 150
 
2.7%
ValueCountFrequency (%)
120 1
 
< 0.1%
98 5
0.1%
94 1
 
< 0.1%
93 1
 
< 0.1%
91 1
 
< 0.1%

Off
Real number (ℝ)

MISSING  ZEROS 

Distinct45
Distinct (%)0.9%
Missing468
Missing (%)8.4%
Infinite0
Infinite (%)0.0%
Mean2.385641428
Minimum0
Maximum53
Zeros2619
Zeros (%)47.1%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:27.506606image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile12
Maximum53
Range53
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.941959162
Coefficient of variation (CV)2.071543151
Kurtosis18.01089399
Mean2.385641428
Median Absolute Deviation (MAD)0
Skewness3.726471048
Sum12162
Variance24.42296036
MonotonicityNot monotonic
2023-06-19T10:34:27.706010image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0 2619
47.1%
1 833
 
15.0%
2 446
 
8.0%
3 247
 
4.4%
4 171
 
3.1%
5 125
 
2.2%
6 87
 
1.6%
7 73
 
1.3%
9 65
 
1.2%
8 62
 
1.1%
Other values (35) 370
 
6.6%
(Missing) 468
 
8.4%
ValueCountFrequency (%)
0 2619
47.1%
1 833
 
15.0%
2 446
 
8.0%
3 247
 
4.4%
4 171
 
3.1%
ValueCountFrequency (%)
53 1
< 0.1%
45 1
< 0.1%
43 1
< 0.1%
42 1
< 0.1%
40 1
< 0.1%

Crs
Real number (ℝ)

MISSING  ZEROS 

Distinct231
Distinct (%)4.5%
Missing468
Missing (%)8.4%
Infinite0
Infinite (%)0.0%
Mean24.39662613
Minimum0
Maximum346
Zeros1204
Zeros (%)21.6%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:27.896883image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q328
95-th percentile115
Maximum346
Range346
Interquartile range (IQR)27

Descriptive statistics

Standard deviation42.22242277
Coefficient of variation (CV)1.730666468
Kurtosis10.27857715
Mean24.39662613
Median Absolute Deviation (MAD)6
Skewness2.913864384
Sum124374
Variance1782.732984
MonotonicityNot monotonic
2023-06-19T10:34:28.086339image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1204
21.6%
1 428
 
7.7%
2 299
 
5.4%
3 221
 
4.0%
4 185
 
3.3%
6 132
 
2.4%
5 130
 
2.3%
8 116
 
2.1%
7 114
 
2.0%
9 90
 
1.6%
Other values (221) 2179
39.1%
(Missing) 468
 
8.4%
ValueCountFrequency (%)
0 1204
21.6%
1 428
 
7.7%
2 299
 
5.4%
3 221
 
4.0%
4 185
 
3.3%
ValueCountFrequency (%)
346 1
< 0.1%
337 1
< 0.1%
324 1
< 0.1%
294 2
< 0.1%
291 1
< 0.1%

PKwon
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)0.2%
Missing476
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean0.1652259332
Minimum0
Maximum7
Zeros4448
Zeros (%)79.9%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:28.246327image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4987792112
Coefficient of variation (CV)3.018770731
Kurtosis25.99457639
Mean0.1652259332
Median Absolute Deviation (MAD)0
Skewness4.208443351
Sum841
Variance0.2487807015
MonotonicityNot monotonic
2023-06-19T10:34:28.376552image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 4448
79.9%
1 497
 
8.9%
2 108
 
1.9%
3 28
 
0.5%
4 4
 
0.1%
5 3
 
0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
(Missing) 476
 
8.6%
ValueCountFrequency (%)
0 4448
79.9%
1 497
 
8.9%
2 108
 
1.9%
3 28
 
0.5%
4 4
 
0.1%
ValueCountFrequency (%)
7 1
 
< 0.1%
6 1
 
< 0.1%
5 3
 
0.1%
4 4
 
0.1%
3 28
0.5%

PKcon
Real number (ℝ)

MISSING  ZEROS 

Distinct5
Distinct (%)0.1%
Missing476
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean0.2060903733
Minimum0
Maximum4
Zeros4227
Zeros (%)75.9%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:28.511566image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4961655284
Coefficient of variation (CV)2.407514337
Kurtosis7.492196618
Mean0.2060903733
Median Absolute Deviation (MAD)0
Skewness2.639170886
Sum1049
Variance0.2461802316
MonotonicityNot monotonic
2023-06-19T10:34:28.636656image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 4227
75.9%
1 700
 
12.6%
2 141
 
2.5%
3 21
 
0.4%
4 1
 
< 0.1%
(Missing) 476
 
8.6%
ValueCountFrequency (%)
0 4227
75.9%
1 700
 
12.6%
2 141
 
2.5%
3 21
 
0.4%
4 1
 
< 0.1%
ValueCountFrequency (%)
4 1
 
< 0.1%
3 21
 
0.4%
2 141
 
2.5%
1 700
 
12.6%
0 4227
75.9%

OG
Real number (ℝ)

Distinct4
Distinct (%)0.1%
Missing10
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.04877609791
Minimum0
Maximum3
Zeros5302
Zeros (%)95.3%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:28.776809image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2307510055
Coefficient of variation (CV)4.730821353
Kurtosis31.05974168
Mean0.04877609791
Median Absolute Deviation (MAD)0
Skewness5.174963261
Sum271
Variance0.05324602655
MonotonicityNot monotonic
2023-06-19T10:34:28.886347image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 5302
95.3%
1 239
 
4.3%
2 13
 
0.2%
3 2
 
< 0.1%
(Missing) 10
 
0.2%
ValueCountFrequency (%)
0 5302
95.3%
1 239
 
4.3%
2 13
 
0.2%
3 2
 
< 0.1%
ValueCountFrequency (%)
3 2
 
< 0.1%
2 13
 
0.2%
1 239
 
4.3%
0 5302
95.3%

Recov
Real number (ℝ)

MISSING  ZEROS 

Distinct293
Distinct (%)5.8%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean68.21883602
Minimum0
Maximum347
Zeros206
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:29.066886image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q114
median49
Q3108
95-th percentile194.75
Maximum347
Range347
Interquartile range (IQR)94

Descriptive statistics

Standard deviation64.4185329
Coefficient of variation (CV)0.9442924662
Kurtosis0.6015758945
Mean68.21883602
Median Absolute Deviation (MAD)41
Skewness1.06767857
Sum346961
Variance4149.747382
MonotonicityNot monotonic
2023-06-19T10:34:29.256334image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 206
 
3.7%
1 165
 
3.0%
2 130
 
2.3%
4 97
 
1.7%
3 95
 
1.7%
5 88
 
1.6%
6 73
 
1.3%
8 70
 
1.3%
9 66
 
1.2%
10 63
 
1.1%
Other values (283) 4033
72.5%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 206
3.7%
1 165
3.0%
2 130
2.3%
3 95
1.7%
4 97
1.7%
ValueCountFrequency (%)
347 1
< 0.1%
337 1
< 0.1%
325 2
< 0.1%
324 1
< 0.1%
320 1
< 0.1%

Won
Real number (ℝ)

MISSING  ZEROS 

Distinct195
Distinct (%)3.8%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean24.76012584
Minimum0
Maximum561
Zeros538
Zeros (%)9.7%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:29.586319image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median13
Q332
95-th percentile90
Maximum561
Range561
Interquartile range (IQR)29

Descriptive statistics

Standard deviation34.55958431
Coefficient of variation (CV)1.395775795
Kurtosis22.94862212
Mean24.76012584
Median Absolute Deviation (MAD)11
Skewness3.454796986
Sum125930
Variance1194.364868
MonotonicityNot monotonic
2023-06-19T10:34:29.766991image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 538
 
9.7%
1 352
 
6.3%
2 237
 
4.3%
3 204
 
3.7%
4 177
 
3.2%
5 167
 
3.0%
7 150
 
2.7%
6 150
 
2.7%
8 129
 
2.3%
10 128
 
2.3%
Other values (185) 2854
51.3%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 538
9.7%
1 352
6.3%
2 237
4.3%
3 204
 
3.7%
4 177
 
3.2%
ValueCountFrequency (%)
561 1
< 0.1%
364 1
< 0.1%
359 1
< 0.1%
300 1
< 0.1%
283 1
< 0.1%

Won%
Real number (ℝ)

MISSING  ZEROS 

Distinct621
Distinct (%)12.9%
Missing770
Missing (%)13.8%
Infinite0
Infinite (%)0.0%
Mean47.80102168
Minimum0
Maximum100
Zeros248
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:29.954152image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q133.3
median48
Q360.2
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)26.9

Descriptive statistics

Standard deviation22.92835905
Coefficient of variation (CV)0.479662531
Kurtosis0.2668838057
Mean47.80102168
Median Absolute Deviation (MAD)13.5
Skewness0.2271413925
Sum229253.7
Variance525.7096486
MonotonicityNot monotonic
2023-06-19T10:34:30.156879image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 292
 
5.2%
0 248
 
4.5%
50 237
 
4.3%
33.3 140
 
2.5%
25 82
 
1.5%
66.7 81
 
1.5%
40 64
 
1.1%
60 52
 
0.9%
20 49
 
0.9%
42.9 45
 
0.8%
Other values (611) 3506
63.0%
(Missing) 770
 
13.8%
ValueCountFrequency (%)
0 248
4.5%
3.8 1
 
< 0.1%
5 1
 
< 0.1%
5.6 3
 
0.1%
5.9 1
 
< 0.1%
ValueCountFrequency (%)
100 292
5.2%
96.2 1
 
< 0.1%
95.5 1
 
< 0.1%
94.4 1
 
< 0.1%
93.8 1
 
< 0.1%

GA
Real number (ℝ)

Distinct71
Distinct (%)16.8%
Missing5143
Missing (%)92.4%
Infinite0
Infinite (%)0.0%
Mean23.63593381
Minimum0
Maximum81
Zeros21
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:30.371993image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median20
Q340
95-th percentile59
Maximum81
Range81
Interquartile range (IQR)35

Descriptive statistics

Standard deviation19.5742561
Coefficient of variation (CV)0.8281566644
Kurtosis-0.7393098714
Mean23.63593381
Median Absolute Deviation (MAD)16
Skewness0.5534991239
Sum9998
Variance383.1515019
MonotonicityNot monotonic
2023-06-19T10:34:30.571713image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 26
 
0.5%
0 21
 
0.4%
5 18
 
0.3%
2 17
 
0.3%
4 14
 
0.3%
7 14
 
0.3%
3 13
 
0.2%
30 11
 
0.2%
12 11
 
0.2%
13 10
 
0.2%
Other values (61) 268
 
4.8%
(Missing) 5143
92.4%
ValueCountFrequency (%)
0 21
0.4%
1 26
0.5%
2 17
0.3%
3 13
0.2%
4 14
0.3%
ValueCountFrequency (%)
81 1
< 0.1%
80 1
< 0.1%
73 1
< 0.1%
72 1
< 0.1%
70 1
< 0.1%

GA90
Real number (ℝ)

Distinct154
Distinct (%)36.7%
Missing5146
Missing (%)92.5%
Infinite0
Infinite (%)0.0%
Mean1.8735
Minimum0
Maximum90
Zeros18
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:30.786962image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4915
Q11.0575
median1.405
Q31.835
95-th percentile3
Maximum90
Range90
Interquartile range (IQR)0.7775

Descriptive statistics

Standard deviation5.01998354
Coefficient of variation (CV)2.679468129
Kurtosis241.3596354
Mean1.8735
Median Absolute Deviation (MAD)0.385
Skewness14.76036766
Sum786.87
Variance25.20023474
MonotonicityNot monotonic
2023-06-19T10:34:30.976904image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 27
 
0.5%
2 25
 
0.4%
0 18
 
0.3%
1.33 17
 
0.3%
1.5 12
 
0.2%
3 9
 
0.2%
1.42 8
 
0.1%
1.24 8
 
0.1%
1.25 7
 
0.1%
2.5 6
 
0.1%
Other values (144) 283
 
5.1%
(Missing) 5146
92.5%
ValueCountFrequency (%)
0 18
0.3%
0.25 1
 
< 0.1%
0.33 2
 
< 0.1%
0.5 3
 
0.1%
0.55 1
 
< 0.1%
ValueCountFrequency (%)
90 1
< 0.1%
45 1
< 0.1%
25.71 1
< 0.1%
9.55 1
< 0.1%
7 1
< 0.1%

SoTA
Real number (ℝ)

Distinct162
Distinct (%)41.0%
Missing5171
Missing (%)92.9%
Infinite0
Infinite (%)0.0%
Mean74.08607595
Minimum0
Maximum225
Zeros5
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:31.176610image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q114.5
median63
Q3127.5
95-th percentile180
Maximum225
Range225
Interquartile range (IQR)113

Descriptive statistics

Standard deviation61.6216776
Coefficient of variation (CV)0.8317578818
Kurtosis-1.117900551
Mean74.08607595
Median Absolute Deviation (MAD)53
Skewness0.4234198476
Sum29264
Variance3797.231151
MonotonicityNot monotonic
2023-06-19T10:34:31.354022image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 15
 
0.3%
1 12
 
0.2%
4 8
 
0.1%
12 8
 
0.1%
13 8
 
0.1%
2 7
 
0.1%
143 7
 
0.1%
6 6
 
0.1%
119 6
 
0.1%
7 6
 
0.1%
Other values (152) 312
 
5.6%
(Missing) 5171
92.9%
ValueCountFrequency (%)
0 5
 
0.1%
1 12
0.2%
2 7
0.1%
3 15
0.3%
4 8
0.1%
ValueCountFrequency (%)
225 1
< 0.1%
214 1
< 0.1%
207 2
< 0.1%
205 1
< 0.1%
204 1
< 0.1%

Saves
Real number (ℝ)

Distinct128
Distinct (%)32.4%
Missing5171
Missing (%)92.9%
Infinite0
Infinite (%)0.0%
Mean50.87341772
Minimum0
Maximum151
Zeros11
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:31.546760image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q19
median42
Q389.5
95-th percentile123.3
Maximum151
Range151
Interquartile range (IQR)80.5

Descriptive statistics

Standard deviation42.9051507
Coefficient of variation (CV)0.8433707154
Kurtosis-1.147038292
Mean50.87341772
Median Absolute Deviation (MAD)36
Skewness0.427312989
Sum20095
Variance1840.851957
MonotonicityNot monotonic
2023-06-19T10:34:31.742037image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 16
 
0.3%
2 14
 
0.3%
0 11
 
0.2%
9 11
 
0.2%
16 10
 
0.2%
6 10
 
0.2%
5 10
 
0.2%
3 10
 
0.2%
12 9
 
0.2%
7 8
 
0.1%
Other values (118) 286
 
5.1%
(Missing) 5171
92.9%
ValueCountFrequency (%)
0 11
0.2%
1 16
0.3%
2 14
0.3%
3 10
0.2%
4 6
 
0.1%
ValueCountFrequency (%)
151 1
< 0.1%
148 1
< 0.1%
145 1
< 0.1%
143 1
< 0.1%
142 1
< 0.1%

Save%
Real number (ℝ)

Distinct180
Distinct (%)46.2%
Missing5176
Missing (%)93.0%
Infinite0
Infinite (%)0.0%
Mean70.72487179
Minimum0
Maximum100
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:31.954152image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile50
Q166.55
median71.4
Q376.3
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)9.75

Descriptive statistics

Standard deviation13.0452415
Coefficient of variation (CV)0.18445055
Kurtosis5.297573447
Mean70.72487179
Median Absolute Deviation (MAD)4.9
Skewness-0.9344272865
Sum27582.7
Variance170.1783258
MonotonicityNot monotonic
2023-06-19T10:34:32.277035image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 22
 
0.4%
66.7 21
 
0.4%
75 16
 
0.3%
33.3 7
 
0.1%
80 7
 
0.1%
71.4 7
 
0.1%
69.2 7
 
0.1%
50 6
 
0.1%
68.5 5
 
0.1%
77.8 5
 
0.1%
Other values (170) 287
 
5.2%
(Missing) 5176
93.0%
ValueCountFrequency (%)
0 2
 
< 0.1%
25 1
 
< 0.1%
33.3 7
0.1%
40 2
 
< 0.1%
41.7 2
 
< 0.1%
ValueCountFrequency (%)
100 22
0.4%
92.3 1
 
< 0.1%
90.9 1
 
< 0.1%
90 1
 
< 0.1%
88.9 2
 
< 0.1%

W
Real number (ℝ)

MISSING  ZEROS 

Distinct31
Distinct (%)7.3%
Missing5143
Missing (%)92.4%
Infinite0
Infinite (%)0.0%
Mean6.456264775
Minimum0
Maximum32
Zeros76
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:32.454329image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q310
95-th percentile19
Maximum32
Range32
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.651967763
Coefficient of variation (CV)1.030312107
Kurtosis0.9322832495
Mean6.456264775
Median Absolute Deviation (MAD)4
Skewness1.170620656
Sum2731
Variance44.24867511
MonotonicityNot monotonic
2023-06-19T10:34:32.616859image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 76
 
1.4%
1 63
 
1.1%
3 32
 
0.6%
2 26
 
0.5%
4 22
 
0.4%
9 21
 
0.4%
10 20
 
0.4%
5 19
 
0.3%
7 16
 
0.3%
8 15
 
0.3%
Other values (21) 113
 
2.0%
(Missing) 5143
92.4%
ValueCountFrequency (%)
0 76
1.4%
1 63
1.1%
2 26
 
0.5%
3 32
0.6%
4 22
 
0.4%
ValueCountFrequency (%)
32 1
< 0.1%
30 1
< 0.1%
28 2
< 0.1%
27 1
< 0.1%
26 2
< 0.1%

D
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)4.5%
Missing5146
Missing (%)92.5%
Infinite0
Infinite (%)0.0%
Mean4.378571429
Minimum0
Maximum22
Zeros92
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:32.776715image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q37
95-th percentile12
Maximum22
Range22
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.229910301
Coefficient of variation (CV)0.9660480295
Kurtosis0.279761222
Mean4.378571429
Median Absolute Deviation (MAD)3
Skewness0.9168614939
Sum1839
Variance17.89214115
MonotonicityNot monotonic
2023-06-19T10:34:32.922004image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 92
 
1.7%
1 61
 
1.1%
2 33
 
0.6%
3 32
 
0.6%
4 29
 
0.5%
8 26
 
0.5%
5 26
 
0.5%
9 25
 
0.4%
7 22
 
0.4%
6 21
 
0.4%
Other values (9) 53
 
1.0%
(Missing) 5146
92.5%
ValueCountFrequency (%)
0 92
1.7%
1 61
1.1%
2 33
 
0.6%
3 32
 
0.6%
4 29
 
0.5%
ValueCountFrequency (%)
22 1
 
< 0.1%
18 1
 
< 0.1%
16 3
0.1%
15 4
0.1%
14 5
0.1%

L
Real number (ℝ)

MISSING  ZEROS 

Distinct24
Distinct (%)5.7%
Missing5146
Missing (%)92.5%
Infinite0
Infinite (%)0.0%
Mean6.480952381
Minimum0
Maximum24
Zeros57
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:33.074400image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q311
95-th percentile17
Maximum24
Range24
Interquartile range (IQR)10

Descriptive statistics

Standard deviation5.722052058
Coefficient of variation (CV)0.8829029627
Kurtosis-0.5715804874
Mean6.480952381
Median Absolute Deviation (MAD)4
Skewness0.662530234
Sum2722
Variance32.74187976
MonotonicityNot monotonic
2023-06-19T10:34:33.276942image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 60
 
1.1%
0 57
 
1.0%
2 38
 
0.7%
4 25
 
0.4%
7 23
 
0.4%
13 23
 
0.4%
12 20
 
0.4%
9 20
 
0.4%
3 19
 
0.3%
10 18
 
0.3%
Other values (14) 117
 
2.1%
(Missing) 5146
92.5%
ValueCountFrequency (%)
0 57
1.0%
1 60
1.1%
2 38
0.7%
3 19
 
0.3%
4 25
0.4%
ValueCountFrequency (%)
24 1
 
< 0.1%
22 1
 
< 0.1%
21 4
0.1%
20 2
< 0.1%
19 4
0.1%

CS
Real number (ℝ)

MISSING  ZEROS 

Distinct22
Distinct (%)5.2%
Missing5146
Missing (%)92.5%
Infinite0
Infinite (%)0.0%
Mean4.680952381
Minimum0
Maximum21
Zeros94
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:33.436669image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q38
95-th percentile14
Maximum21
Range21
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.763937627
Coefficient of variation (CV)1.017728283
Kurtosis0.5069745647
Mean4.680952381
Median Absolute Deviation (MAD)3
Skewness1.066886051
Sum1966
Variance22.69510172
MonotonicityNot monotonic
2023-06-19T10:34:33.586544image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 94
 
1.7%
1 60
 
1.1%
5 32
 
0.6%
2 32
 
0.6%
3 30
 
0.5%
4 27
 
0.5%
6 20
 
0.4%
7 19
 
0.3%
10 18
 
0.3%
8 16
 
0.3%
Other values (12) 72
 
1.3%
(Missing) 5146
92.5%
ValueCountFrequency (%)
0 94
1.7%
1 60
1.1%
2 32
 
0.6%
3 30
 
0.5%
4 27
 
0.5%
ValueCountFrequency (%)
21 2
< 0.1%
20 2
< 0.1%
19 1
< 0.1%
18 2
< 0.1%
17 1
< 0.1%

CS%
Real number (ℝ)

MISSING  ZEROS 

Distinct135
Distinct (%)33.4%
Missing5162
Missing (%)92.7%
Infinite0
Infinite (%)0.0%
Mean25.41435644
Minimum0
Maximum100
Zeros81
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:33.754201image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q114.125
median24
Q333.3
95-th percentile57.725
Maximum100
Range100
Interquartile range (IQR)19.175

Descriptive statistics

Standard deviation21.58344283
Coefficient of variation (CV)0.8492618289
Kurtosis3.45284042
Mean25.41435644
Median Absolute Deviation (MAD)9.7
Skewness1.509517967
Sum10267.4
Variance465.8450043
MonotonicityNot monotonic
2023-06-19T10:34:33.957022image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 81
 
1.5%
33.3 26
 
0.5%
100 16
 
0.3%
25 16
 
0.3%
16.7 13
 
0.2%
50 11
 
0.2%
20 10
 
0.2%
14.3 9
 
0.2%
42.9 6
 
0.1%
28.6 6
 
0.1%
Other values (125) 210
 
3.8%
(Missing) 5162
92.7%
ValueCountFrequency (%)
0 81
1.5%
5.9 1
 
< 0.1%
6.7 1
 
< 0.1%
7.7 1
 
< 0.1%
8.3 2
 
< 0.1%
ValueCountFrequency (%)
100 16
0.3%
75 1
 
< 0.1%
66.7 2
 
< 0.1%
60 1
 
< 0.1%
58.1 1
 
< 0.1%

PKA
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)2.6%
Missing5146
Missing (%)92.5%
Infinite0
Infinite (%)0.0%
Mean2.183333333
Minimum0
Maximum11
Zeros120
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:34.121725image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q34
95-th percentile7
Maximum11
Range11
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.218862151
Coefficient of variation (CV)1.016272741
Kurtosis0.7456762504
Mean2.183333333
Median Absolute Deviation (MAD)2
Skewness1.085692562
Sum917
Variance4.923349244
MonotonicityNot monotonic
2023-06-19T10:34:34.251723image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 120
 
2.2%
1 88
 
1.6%
2 62
 
1.1%
4 49
 
0.9%
3 39
 
0.7%
5 21
 
0.4%
6 18
 
0.3%
7 12
 
0.2%
8 8
 
0.1%
10 2
 
< 0.1%
(Missing) 5146
92.5%
ValueCountFrequency (%)
0 120
2.2%
1 88
1.6%
2 62
1.1%
3 39
 
0.7%
4 49
0.9%
ValueCountFrequency (%)
11 1
 
< 0.1%
10 2
 
< 0.1%
8 8
0.1%
7 12
0.2%
6 18
0.3%

PKsv
Real number (ℝ)

MISSING  ZEROS 

Distinct5
Distinct (%)1.2%
Missing5146
Missing (%)92.5%
Infinite0
Infinite (%)0.0%
Mean0.4285714286
Minimum0
Maximum4
Zeros291
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:34.391722image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7422746805
Coefficient of variation (CV)1.731974255
Kurtosis3.279390046
Mean0.4285714286
Median Absolute Deviation (MAD)0
Skewness1.865345838
Sum180
Variance0.5509717013
MonotonicityNot monotonic
2023-06-19T10:34:34.526855image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 291
 
5.2%
1 90
 
1.6%
2 28
 
0.5%
3 10
 
0.2%
4 1
 
< 0.1%
(Missing) 5146
92.5%
ValueCountFrequency (%)
0 291
5.2%
1 90
 
1.6%
2 28
 
0.5%
3 10
 
0.2%
4 1
 
< 0.1%
ValueCountFrequency (%)
4 1
 
< 0.1%
3 10
 
0.2%
2 28
 
0.5%
1 90
 
1.6%
0 291
5.2%

PKm
Real number (ℝ)

MISSING  ZEROS 

Distinct4
Distinct (%)1.0%
Missing5146
Missing (%)92.5%
Infinite0
Infinite (%)0.0%
Mean0.1476190476
Minimum0
Maximum3
Zeros366
Zeros (%)6.6%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:34.676938image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4112023788
Coefficient of variation (CV)2.785564501
Kurtosis10.68166268
Mean0.1476190476
Median Absolute Deviation (MAD)0
Skewness3.079037546
Sum62
Variance0.1690873963
MonotonicityNot monotonic
2023-06-19T10:34:34.796611image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 366
 
6.6%
1 47
 
0.8%
2 6
 
0.1%
3 1
 
< 0.1%
(Missing) 5146
92.5%
ValueCountFrequency (%)
0 366
6.6%
1 47
 
0.8%
2 6
 
0.1%
3 1
 
< 0.1%
ValueCountFrequency (%)
3 1
 
< 0.1%
2 6
 
0.1%
1 47
 
0.8%
0 366
6.6%

Save%.1
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)6.2%
Missing5259
Missing (%)94.5%
Infinite0
Infinite (%)0.0%
Mean14.83648208
Minimum0
Maximum100
Zeros178
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:34.956613image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q325
95-th percentile50
Maximum100
Range100
Interquartile range (IQR)25

Descriptive statistics

Standard deviation22.12199918
Coefficient of variation (CV)1.491054217
Kurtosis3.373255762
Mean14.83648208
Median Absolute Deviation (MAD)0
Skewness1.7745546
Sum4554.8
Variance489.3828477
MonotonicityNot monotonic
2023-06-19T10:34:35.106961image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 178
 
3.2%
50 25
 
0.4%
20 23
 
0.4%
33.3 20
 
0.4%
25 17
 
0.3%
16.7 8
 
0.1%
100 7
 
0.1%
14.3 5
 
0.1%
40 5
 
0.1%
12.5 4
 
0.1%
Other values (9) 15
 
0.3%
(Missing) 5259
94.5%
ValueCountFrequency (%)
0 178
3.2%
8.3 1
 
< 0.1%
9.1 1
 
< 0.1%
11.1 1
 
< 0.1%
12.5 4
 
0.1%
ValueCountFrequency (%)
100 7
 
0.1%
75 2
 
< 0.1%
60 3
 
0.1%
50 25
0.4%
42.9 2
 
< 0.1%

CK
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)3.6%
Missing5175
Missing (%)93.0%
Infinite0
Infinite (%)0.0%
Mean2.856777494
Minimum0
Maximum13
Zeros106
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:35.256714image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q35
95-th percentile9
Maximum13
Range13
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.965606065
Coefficient of variation (CV)1.038094871
Kurtosis0.6599602339
Mean2.856777494
Median Absolute Deviation (MAD)2
Skewness1.128554341
Sum1117
Variance8.794819332
MonotonicityNot monotonic
2023-06-19T10:34:35.406548image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 106
 
1.9%
1 67
 
1.2%
3 45
 
0.8%
2 44
 
0.8%
5 31
 
0.6%
4 29
 
0.5%
6 19
 
0.3%
7 15
 
0.3%
8 10
 
0.2%
9 8
 
0.1%
Other values (4) 17
 
0.3%
(Missing) 5175
93.0%
ValueCountFrequency (%)
0 106
1.9%
1 67
1.2%
2 44
0.8%
3 45
0.8%
4 29
 
0.5%
ValueCountFrequency (%)
13 1
 
< 0.1%
12 3
 
0.1%
11 6
0.1%
10 7
0.1%
9 8
0.1%

PSxG
Real number (ℝ)

Distinct256
Distinct (%)65.0%
Missing5172
Missing (%)92.9%
Infinite0
Infinite (%)0.0%
Mean22.62385787
Minimum0
Maximum68.6
Zeros6
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:35.586990image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.5
Q14.475
median18.8
Q339
95-th percentile55.175
Maximum68.6
Range68.6
Interquartile range (IQR)34.525

Descriptive statistics

Standard deviation18.88061163
Coefficient of variation (CV)0.8345443001
Kurtosis-1.033090826
Mean22.62385787
Median Absolute Deviation (MAD)15.95
Skewness0.4553129278
Sum8913.8
Variance356.4774955
MonotonicityNot monotonic
2023-06-19T10:34:35.776823image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 7
 
0.1%
0.1 6
 
0.1%
0 6
 
0.1%
2.6 5
 
0.1%
8.1 5
 
0.1%
35.2 4
 
0.1%
1.7 4
 
0.1%
0.6 4
 
0.1%
0.7 4
 
0.1%
0.5 4
 
0.1%
Other values (246) 345
 
6.2%
(Missing) 5172
92.9%
ValueCountFrequency (%)
0 6
0.1%
0.1 6
0.1%
0.2 2
 
< 0.1%
0.3 3
0.1%
0.4 1
 
< 0.1%
ValueCountFrequency (%)
68.6 1
< 0.1%
68.2 1
< 0.1%
65.9 2
< 0.1%
64.5 1
< 0.1%
63.1 1
< 0.1%

PSxG/SoT
Real number (ℝ)

Distinct45
Distinct (%)11.6%
Missing5177
Missing (%)93.0%
Infinite0
Infinite (%)0.0%
Mean0.2747043702
Minimum0
Maximum0.68
Zeros3
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:35.976654image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.118
Q10.25
median0.28
Q30.31
95-th percentile0.38
Maximum0.68
Range0.68
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.07642614862
Coefficient of variation (CV)0.2782123508
Kurtosis4.651359145
Mean0.2747043702
Median Absolute Deviation (MAD)0.03
Skewness-0.07897189985
Sum106.86
Variance0.005840956192
MonotonicityNot monotonic
2023-06-19T10:34:36.171572image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0.27 42
 
0.8%
0.3 36
 
0.6%
0.26 33
 
0.6%
0.28 29
 
0.5%
0.29 27
 
0.5%
0.32 25
 
0.4%
0.25 24
 
0.4%
0.31 23
 
0.4%
0.24 23
 
0.4%
0.23 13
 
0.2%
Other values (35) 114
 
2.0%
(Missing) 5177
93.0%
ValueCountFrequency (%)
0 3
0.1%
0.02 1
 
< 0.1%
0.04 1
 
< 0.1%
0.05 1
 
< 0.1%
0.06 1
 
< 0.1%
ValueCountFrequency (%)
0.68 1
< 0.1%
0.55 2
< 0.1%
0.54 1
< 0.1%
0.5 1
< 0.1%
0.49 1
< 0.1%

PSxG+/-
Real number (ℝ)

Distinct146
Distinct (%)37.3%
Missing5175
Missing (%)93.0%
Infinite0
Infinite (%)0.0%
Mean-0.104859335
Minimum-13.5
Maximum14.3
Zeros14
Zeros (%)0.3%
Negative197
Negative (%)3.5%
Memory size43.6 KiB
2023-06-19T10:34:36.506137image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-13.5
5-th percentile-7.35
Q1-2.1
median-0.1
Q31.3
95-th percentile7.65
Maximum14.3
Range27.8
Interquartile range (IQR)3.4

Descriptive statistics

Standard deviation4.128394723
Coefficient of variation (CV)-39.3707887
Kurtosis1.932874133
Mean-0.104859335
Median Absolute Deviation (MAD)1.8
Skewness0.2419565119
Sum-41
Variance17.04364299
MonotonicityNot monotonic
2023-06-19T10:34:36.686642image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14
 
0.3%
0.1 13
 
0.2%
-0.5 9
 
0.2%
0.3 9
 
0.2%
-0.3 9
 
0.2%
-1 9
 
0.2%
0.2 8
 
0.1%
-0.7 8
 
0.1%
-2.5 7
 
0.1%
0.7 7
 
0.1%
Other values (136) 298
 
5.4%
(Missing) 5175
93.0%
ValueCountFrequency (%)
-13.5 1
< 0.1%
-12.4 2
< 0.1%
-11.9 1
< 0.1%
-11.6 1
< 0.1%
-10.5 1
< 0.1%
ValueCountFrequency (%)
14.3 1
< 0.1%
14.2 1
< 0.1%
13.9 1
< 0.1%
13.4 1
< 0.1%
12.4 1
< 0.1%

/90
Real number (ℝ)

Distinct130
Distinct (%)33.2%
Missing5175
Missing (%)93.0%
Infinite0
Infinite (%)0.0%
Mean-0.1372634271
Minimum-28.86
Maximum3.32
Zeros10
Zeros (%)0.2%
Negative200
Negative (%)3.6%
Memory size43.6 KiB
2023-06-19T10:34:36.876718image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-28.86
5-th percentile-0.845
Q1-0.21
median-0.01
Q30.14
95-th percentile0.46
Maximum3.32
Range32.18
Interquartile range (IQR)0.35

Descriptive statistics

Standard deviation1.535905456
Coefficient of variation (CV)-11.18947332
Kurtosis315.6717597
Mean-0.1372634271
Median Absolute Deviation (MAD)0.17
Skewness-16.89091481
Sum-53.67
Variance2.359005569
MonotonicityNot monotonic
2023-06-19T10:34:37.074333image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.15 12
 
0.2%
0.14 10
 
0.2%
0 10
 
0.2%
0.1 10
 
0.2%
-0.17 9
 
0.2%
0.04 9
 
0.2%
-0.02 7
 
0.1%
-0.12 7
 
0.1%
0.01 7
 
0.1%
-0.21 7
 
0.1%
Other values (120) 303
 
5.4%
(Missing) 5175
93.0%
ValueCountFrequency (%)
-28.86 1
< 0.1%
-3.72 1
< 0.1%
-3.27 1
< 0.1%
-2.53 1
< 0.1%
-2.26 1
< 0.1%
ValueCountFrequency (%)
3.32 1
< 0.1%
1.65 1
< 0.1%
1.2 1
< 0.1%
1.03 1
< 0.1%
0.77 1
< 0.1%

Thr
Real number (ℝ)

Distinct164
Distinct (%)41.6%
Missing5172
Missing (%)92.9%
Infinite0
Infinite (%)0.0%
Mean71.03299492
Minimum0
Maximum288
Zeros12
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:37.306040image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q113
median55.5
Q3122
95-th percentile183.35
Maximum288
Range288
Interquartile range (IQR)109

Descriptive statistics

Standard deviation62.78884544
Coefficient of variation (CV)0.8839391541
Kurtosis-0.6502108278
Mean71.03299492
Median Absolute Deviation (MAD)47.5
Skewness0.6395230492
Sum27987
Variance3942.439112
MonotonicityNot monotonic
2023-06-19T10:34:37.496773image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 13
 
0.2%
0 12
 
0.2%
1 10
 
0.2%
4 10
 
0.2%
2 9
 
0.2%
7 8
 
0.1%
12 6
 
0.1%
5 6
 
0.1%
6 6
 
0.1%
23 5
 
0.1%
Other values (154) 309
 
5.6%
(Missing) 5172
92.9%
ValueCountFrequency (%)
0 12
0.2%
1 10
0.2%
2 9
0.2%
3 13
0.2%
4 10
0.2%
ValueCountFrequency (%)
288 1
< 0.1%
236 1
< 0.1%
225 1
< 0.1%
222 1
< 0.1%
212 1
< 0.1%

Launch%
Real number (ℝ)

Distinct270
Distinct (%)68.7%
Missing5173
Missing (%)92.9%
Infinite0
Infinite (%)0.0%
Mean45.79847328
Minimum0
Maximum100
Zeros5
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:37.706510image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18.64
Q134.4
median45
Q356.5
95-th percentile76.36
Maximum100
Range100
Interquartile range (IQR)22.1

Descriptive statistics

Standard deviation17.79989961
Coefficient of variation (CV)0.388657052
Kurtosis0.4231375398
Mean45.79847328
Median Absolute Deviation (MAD)11.3
Skewness0.2390695938
Sum17998.8
Variance316.8364262
MonotonicityNot monotonic
2023-06-19T10:34:37.926230image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
0.1%
39.8 5
 
0.1%
48.6 4
 
0.1%
37.5 4
 
0.1%
50 4
 
0.1%
33.3 4
 
0.1%
45 3
 
0.1%
59 3
 
0.1%
66.7 3
 
0.1%
43.9 3
 
0.1%
Other values (260) 355
 
6.4%
(Missing) 5173
92.9%
ValueCountFrequency (%)
0 5
0.1%
1.5 1
 
< 0.1%
6.7 1
 
< 0.1%
9 1
 
< 0.1%
10.8 1
 
< 0.1%
ValueCountFrequency (%)
100 3
0.1%
92 1
 
< 0.1%
91.7 1
 
< 0.1%
91.3 1
 
< 0.1%
90.9 1
 
< 0.1%

AvgLen
Real number (ℝ)

Distinct205
Distinct (%)52.2%
Missing5173
Missing (%)92.9%
Infinite0
Infinite (%)0.0%
Mean37.86463104
Minimum9.5
Maximum73.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:38.117031image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum9.5
5-th percentile27.1
Q133.6
median37.7
Q341.9
95-th percentile49.94
Maximum73.3
Range63.8
Interquartile range (IQR)8.3

Descriptive statistics

Standard deviation7.094165893
Coefficient of variation (CV)0.1873560021
Kurtosis1.999570888
Mean37.86463104
Median Absolute Deviation (MAD)4.2
Skewness0.2297168992
Sum14880.8
Variance50.32718972
MonotonicityNot monotonic
2023-06-19T10:34:38.306348image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.8 7
 
0.1%
44.2 6
 
0.1%
38.3 5
 
0.1%
39.4 5
 
0.1%
37.3 5
 
0.1%
38.4 5
 
0.1%
44.6 5
 
0.1%
34.3 4
 
0.1%
39.9 4
 
0.1%
36.9 4
 
0.1%
Other values (195) 343
 
6.2%
(Missing) 5173
92.9%
ValueCountFrequency (%)
9.5 1
< 0.1%
14.3 1
< 0.1%
18.7 1
< 0.1%
21.1 1
< 0.1%
21.3 1
< 0.1%
ValueCountFrequency (%)
73.3 1
< 0.1%
58.4 1
< 0.1%
56.5 1
< 0.1%
55.3 1
< 0.1%
54.2 1
< 0.1%

Launch%.1
Real number (ℝ)

Distinct267
Distinct (%)68.8%
Missing5178
Missing (%)93.0%
Infinite0
Infinite (%)0.0%
Mean69.55798969
Minimum0
Maximum100
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:38.551650image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile34.645
Q155.125
median71.9
Q385.475
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)30.35

Descriptive statistics

Standard deviation20.46609127
Coefficient of variation (CV)0.2942306321
Kurtosis-0.08319638771
Mean69.55798969
Median Absolute Deviation (MAD)15.2
Skewness-0.5773238269
Sum26988.5
Variance418.8608921
MonotonicityNot monotonic
2023-06-19T10:34:38.786982image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 23
 
0.4%
50 5
 
0.1%
83.3 4
 
0.1%
80 4
 
0.1%
51.6 4
 
0.1%
33.3 4
 
0.1%
88.9 3
 
0.1%
82.2 3
 
0.1%
91.3 3
 
0.1%
75 3
 
0.1%
Other values (257) 332
 
6.0%
(Missing) 5178
93.0%
ValueCountFrequency (%)
0 2
< 0.1%
9.1 1
< 0.1%
12.5 1
< 0.1%
16.2 1
< 0.1%
16.4 1
< 0.1%
ValueCountFrequency (%)
100 23
0.4%
99.5 1
 
< 0.1%
99.4 1
 
< 0.1%
98.9 1
 
< 0.1%
98.7 1
 
< 0.1%

AvgLen.1
Real number (ℝ)

Distinct228
Distinct (%)58.8%
Missing5178
Missing (%)93.0%
Infinite0
Infinite (%)0.0%
Mean50.67190722
Minimum24.6
Maximum77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:38.991635image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum24.6
5-th percentile34.91
Q144
median51.6
Q357.45
95-th percentile65.1
Maximum77
Range52.4
Interquartile range (IQR)13.45

Descriptive statistics

Standard deviation9.442805362
Coefficient of variation (CV)0.1863518837
Kurtosis-0.3680802681
Mean50.67190722
Median Absolute Deviation (MAD)6.45
Skewness-0.2353498286
Sum19660.7
Variance89.1665731
MonotonicityNot monotonic
2023-06-19T10:34:39.386941image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
58.1 5
 
0.1%
49.1 4
 
0.1%
49.7 4
 
0.1%
40 4
 
0.1%
53.5 4
 
0.1%
62 4
 
0.1%
57.3 4
 
0.1%
45.8 4
 
0.1%
55.1 4
 
0.1%
54 4
 
0.1%
Other values (218) 347
 
6.2%
(Missing) 5178
93.0%
ValueCountFrequency (%)
24.6 1
< 0.1%
26.3 1
< 0.1%
27.2 1
< 0.1%
27.7 1
< 0.1%
28 1
< 0.1%
ValueCountFrequency (%)
77 1
< 0.1%
71.3 1
< 0.1%
70 1
< 0.1%
68.8 2
< 0.1%
68.7 1
< 0.1%

Opp
Real number (ℝ)

Distinct269
Distinct (%)68.3%
Missing5172
Missing (%)92.9%
Infinite0
Infinite (%)0.0%
Mean249.3527919
Minimum0
Maximum831
Zeros6
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:39.626093image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q142.25
median208
Q3430
95-th percentile591.05
Maximum831
Range831
Interquartile range (IQR)387.75

Descriptive statistics

Standard deviation210.8748767
Coefficient of variation (CV)0.8456888538
Kurtosis-1.151523106
Mean249.3527919
Median Absolute Deviation (MAD)181
Skewness0.4161605728
Sum98245
Variance44468.21364
MonotonicityNot monotonic
2023-06-19T10:34:39.866647image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
0.1%
7 6
 
0.1%
16 5
 
0.1%
9 5
 
0.1%
8 5
 
0.1%
14 4
 
0.1%
18 4
 
0.1%
10 4
 
0.1%
13 4
 
0.1%
441 3
 
0.1%
Other values (259) 348
 
6.3%
(Missing) 5172
92.9%
ValueCountFrequency (%)
0 6
0.1%
1 1
 
< 0.1%
2 2
 
< 0.1%
3 1
 
< 0.1%
5 2
 
< 0.1%
ValueCountFrequency (%)
831 1
< 0.1%
704 1
< 0.1%
686 1
< 0.1%
683 2
< 0.1%
682 1
< 0.1%

Stp
Real number (ℝ)

MISSING  ZEROS 

Distinct40
Distinct (%)10.2%
Missing5172
Missing (%)92.9%
Infinite0
Infinite (%)0.0%
Mean9.989847716
Minimum0
Maximum49
Zeros67
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:40.077020image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.25
median7
Q316
95-th percentile29
Maximum49
Range49
Interquartile range (IQR)14.75

Descriptive statistics

Standard deviation9.893576114
Coefficient of variation (CV)0.9903630561
Kurtosis0.6360940812
Mean9.989847716
Median Absolute Deviation (MAD)6
Skewness1.04765788
Sum3936
Variance97.88284832
MonotonicityNot monotonic
2023-06-19T10:34:40.466774image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0 67
 
1.2%
1 32
 
0.6%
2 28
 
0.5%
3 21
 
0.4%
13 16
 
0.3%
8 15
 
0.3%
4 15
 
0.3%
6 14
 
0.3%
5 13
 
0.2%
11 12
 
0.2%
Other values (30) 161
 
2.9%
(Missing) 5172
92.9%
ValueCountFrequency (%)
0 67
1.2%
1 32
0.6%
2 28
0.5%
3 21
 
0.4%
4 15
 
0.3%
ValueCountFrequency (%)
49 1
 
< 0.1%
43 1
 
< 0.1%
41 2
< 0.1%
37 2
< 0.1%
36 4
0.1%

Stp%
Real number (ℝ)

MISSING  ZEROS 

Distinct89
Distinct (%)22.9%
Missing5178
Missing (%)93.0%
Infinite0
Infinite (%)0.0%
Mean3.986340206
Minimum0
Maximum28.6
Zeros61
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:40.686885image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.1
median3.6
Q35.325
95-th percentile8.8
Maximum28.6
Range28.6
Interquartile range (IQR)3.225

Descriptive statistics

Standard deviation3.51015419
Coefficient of variation (CV)0.8805455652
Kurtosis18.22709106
Mean3.986340206
Median Absolute Deviation (MAD)1.7
Skewness3.10532483
Sum1546.7
Variance12.32118244
MonotonicityNot monotonic
2023-06-19T10:34:40.926771image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 61
 
1.1%
4.3 16
 
0.3%
2.7 10
 
0.2%
4.2 10
 
0.2%
3.4 9
 
0.2%
4.4 9
 
0.2%
4.8 9
 
0.2%
2.8 8
 
0.1%
5.3 8
 
0.1%
2.3 8
 
0.1%
Other values (79) 240
 
4.3%
(Missing) 5178
93.0%
ValueCountFrequency (%)
0 61
1.1%
0.4 1
 
< 0.1%
0.6 1
 
< 0.1%
0.8 1
 
< 0.1%
1.1 2
 
< 0.1%
ValueCountFrequency (%)
28.6 3
0.1%
18.8 1
 
< 0.1%
15.4 1
 
< 0.1%
14.3 1
 
< 0.1%
13.1 1
 
< 0.1%

#OPA
Real number (ℝ)

Distinct58
Distinct (%)14.8%
Missing5175
Missing (%)93.0%
Infinite0
Infinite (%)0.0%
Mean14.62404092
Minimum0
Maximum83
Zeros54
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:41.206585image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median9
Q323
95-th percentile44
Maximum83
Range83
Interquartile range (IQR)21

Descriptive statistics

Standard deviation15.35108232
Coefficient of variation (CV)1.049715492
Kurtosis1.738871557
Mean14.62404092
Median Absolute Deviation (MAD)8
Skewness1.336360967
Sum5718
Variance235.6557282
MonotonicityNot monotonic
2023-06-19T10:34:41.416281image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 54
 
1.0%
2 30
 
0.5%
1 26
 
0.5%
7 16
 
0.3%
3 16
 
0.3%
4 15
 
0.3%
6 13
 
0.2%
10 11
 
0.2%
18 10
 
0.2%
8 10
 
0.2%
Other values (48) 190
 
3.4%
(Missing) 5175
93.0%
ValueCountFrequency (%)
0 54
1.0%
1 26
0.5%
2 30
0.5%
3 16
 
0.3%
4 15
 
0.3%
ValueCountFrequency (%)
83 1
< 0.1%
72 1
< 0.1%
71 1
< 0.1%
65 1
< 0.1%
59 2
< 0.1%

#OPA/90
Real number (ℝ)

Distinct156
Distinct (%)39.9%
Missing5175
Missing (%)93.0%
Infinite0
Infinite (%)0.0%
Mean0.8636828645
Minimum0
Maximum11.25
Zeros54
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:41.686700image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.4
median0.68
Q31.085
95-th percentile2
Maximum11.25
Range11.25
Interquartile range (IQR)0.685

Descriptive statistics

Standard deviation0.9391691591
Coefficient of variation (CV)1.087400477
Kurtosis48.07879577
Mean0.8636828645
Median Absolute Deviation (MAD)0.35
Skewness5.341981956
Sum337.7
Variance0.8820387094
MonotonicityNot monotonic
2023-06-19T10:34:41.881657image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 54
 
1.0%
1 16
 
0.3%
0.5 11
 
0.2%
2 10
 
0.2%
0.67 9
 
0.2%
0.62 8
 
0.1%
0.82 7
 
0.1%
0.71 7
 
0.1%
0.42 6
 
0.1%
0.4 5
 
0.1%
Other values (146) 258
 
4.6%
(Missing) 5175
93.0%
ValueCountFrequency (%)
0 54
1.0%
0.09 1
 
< 0.1%
0.12 1
 
< 0.1%
0.13 1
 
< 0.1%
0.14 3
 
0.1%
ValueCountFrequency (%)
11.25 1
< 0.1%
8 1
< 0.1%
6 1
< 0.1%
4 2
< 0.1%
2.77 1
< 0.1%

AvgDist
Real number (ℝ)

Distinct136
Distinct (%)35.2%
Missing5180
Missing (%)93.1%
Infinite0
Infinite (%)0.0%
Mean13.22720207
Minimum1
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:42.125937image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.3
Q111.3
median13.2
Q315.1
95-th percentile18.675
Maximum35
Range34
Interquartile range (IQR)3.8

Descriptive statistics

Standard deviation3.794248682
Coefficient of variation (CV)0.2868519481
Kurtosis5.202869347
Mean13.22720207
Median Absolute Deviation (MAD)1.9
Skewness0.8509168239
Sum5105.7
Variance14.39632306
MonotonicityNot monotonic
2023-06-19T10:34:42.321748image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.7 10
 
0.2%
12.5 9
 
0.2%
13.8 8
 
0.1%
12.1 8
 
0.1%
12 8
 
0.1%
15.5 8
 
0.1%
14.5 8
 
0.1%
12.3 7
 
0.1%
13.1 7
 
0.1%
13.4 7
 
0.1%
Other values (126) 306
 
5.5%
(Missing) 5180
93.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
2 1
 
< 0.1%
3 1
 
< 0.1%
3.8 1
 
< 0.1%
4.3 3
0.1%
ValueCountFrequency (%)
35 1
< 0.1%
32 1
< 0.1%
29.8 1
< 0.1%
25 1
< 0.1%
23.5 1
< 0.1%

Dead
Real number (ℝ)

MISSING  ZEROS 

Distinct436
Distinct (%)8.6%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean67.88655132
Minimum0
Maximum736
Zeros434
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:42.646445image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median26
Q376
95-th percentile303.75
Maximum736
Range736
Interquartile range (IQR)69

Descriptive statistics

Standard deviation101.1424937
Coefficient of variation (CV)1.489875267
Kurtosis5.734680816
Mean67.88655132
Median Absolute Deviation (MAD)24
Skewness2.333461442
Sum345271
Variance10229.80404
MonotonicityNot monotonic
2023-06-19T10:34:42.846526image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 434
 
7.8%
1 198
 
3.6%
2 164
 
2.9%
3 120
 
2.2%
6 119
 
2.1%
4 116
 
2.1%
7 111
 
2.0%
5 101
 
1.8%
8 92
 
1.7%
10 86
 
1.5%
Other values (426) 3545
63.7%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 434
7.8%
1 198
3.6%
2 164
 
2.9%
3 120
 
2.2%
4 116
 
2.1%
ValueCountFrequency (%)
736 1
< 0.1%
691 1
< 0.1%
663 1
< 0.1%
660 1
< 0.1%
628 1
< 0.1%

TB
Real number (ℝ)

MISSING  ZEROS 

Distinct31
Distinct (%)0.6%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean1.291781361
Minimum0
Maximum70
Zeros3035
Zeros (%)54.5%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:43.021895image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6
Maximum70
Range70
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.909483239
Coefficient of variation (CV)2.252303159
Kurtosis94.92687774
Mean1.291781361
Median Absolute Deviation (MAD)0
Skewness6.818166332
Sum6570
Variance8.465092716
MonotonicityNot monotonic
2023-06-19T10:34:43.166577image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 3035
54.5%
1 814
 
14.6%
2 431
 
7.7%
3 236
 
4.2%
4 143
 
2.6%
5 109
 
2.0%
6 85
 
1.5%
7 58
 
1.0%
8 56
 
1.0%
9 25
 
0.4%
Other values (21) 94
 
1.7%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 3035
54.5%
1 814
 
14.6%
2 431
 
7.7%
3 236
 
4.2%
4 143
 
2.6%
ValueCountFrequency (%)
70 1
< 0.1%
42 1
< 0.1%
41 1
< 0.1%
39 1
< 0.1%
34 1
< 0.1%

Sw
Real number (ℝ)

MISSING  ZEROS 

Distinct65
Distinct (%)1.3%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean5.546205269
Minimum0
Maximum93
Zeros1496
Zeros (%)26.9%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:43.347007image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37
95-th percentile22
Maximum93
Range93
Interquartile range (IQR)7

Descriptive statistics

Standard deviation8.532852145
Coefficient of variation (CV)1.538502766
Kurtosis13.4208819
Mean5.546205269
Median Absolute Deviation (MAD)2
Skewness3.042766888
Sum28208
Variance72.80956573
MonotonicityNot monotonic
2023-06-19T10:34:43.526747image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1496
26.9%
1 657
11.8%
2 475
 
8.5%
3 378
 
6.8%
4 272
 
4.9%
5 233
 
4.2%
6 197
 
3.5%
7 163
 
2.9%
8 134
 
2.4%
9 109
 
2.0%
Other values (55) 972
17.5%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 1496
26.9%
1 657
11.8%
2 475
 
8.5%
3 378
 
6.8%
4 272
 
4.9%
ValueCountFrequency (%)
93 1
< 0.1%
84 1
< 0.1%
71 1
< 0.1%
70 1
< 0.1%
69 1
< 0.1%

TI
Real number (ℝ)

MISSING  ZEROS 

Distinct333
Distinct (%)6.5%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean29.00314589
Minimum0
Maximum589
Zeros1592
Zeros (%)28.6%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:43.686928image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q314
95-th percentile196
Maximum589
Range589
Interquartile range (IQR)14

Descriptive statistics

Standard deviation68.61907156
Coefficient of variation (CV)2.365918229
Kurtosis11.16203349
Mean29.00314589
Median Absolute Deviation (MAD)3
Skewness3.242798198
Sum147510
Variance4708.576981
MonotonicityNot monotonic
2023-06-19T10:34:43.871919image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1592
28.6%
1 559
 
10.0%
2 329
 
5.9%
3 268
 
4.8%
4 220
 
4.0%
5 198
 
3.6%
6 136
 
2.4%
7 117
 
2.1%
8 100
 
1.8%
11 67
 
1.2%
Other values (323) 1500
26.9%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 1592
28.6%
1 559
 
10.0%
2 329
 
5.9%
3 268
 
4.8%
4 220
 
4.0%
ValueCountFrequency (%)
589 1
< 0.1%
555 1
< 0.1%
481 1
< 0.1%
458 1
< 0.1%
448 1
< 0.1%

In
Real number (ℝ)

MISSING  ZEROS 

Distinct78
Distinct (%)1.5%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean2.884388517
Minimum0
Maximum94
Zeros3898
Zeros (%)70.0%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:44.076828image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile19
Maximum94
Range94
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.162469089
Coefficient of variation (CV)3.176572446
Kurtosis25.86437124
Mean2.884388517
Median Absolute Deviation (MAD)0
Skewness4.679981208
Sum14670
Variance83.95083981
MonotonicityNot monotonic
2023-06-19T10:34:44.236965image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3898
70.0%
1 250
 
4.5%
2 126
 
2.3%
3 87
 
1.6%
4 63
 
1.1%
5 58
 
1.0%
7 47
 
0.8%
9 43
 
0.8%
14 33
 
0.6%
12 31
 
0.6%
Other values (68) 450
 
8.1%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 3898
70.0%
1 250
 
4.5%
2 126
 
2.3%
3 87
 
1.6%
4 63
 
1.1%
ValueCountFrequency (%)
94 1
< 0.1%
89 1
< 0.1%
87 1
< 0.1%
84 1
< 0.1%
81 1
< 0.1%

Out
Real number (ℝ)

MISSING  ZEROS 

Distinct71
Distinct (%)1.4%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean2.517302399
Minimum0
Maximum93
Zeros3989
Zeros (%)71.7%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:44.401589image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile16
Maximum93
Range93
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.376161067
Coefficient of variation (CV)3.327435381
Kurtosis31.26604273
Mean2.517302399
Median Absolute Deviation (MAD)0
Skewness5.062912818
Sum12803
Variance70.16007422
MonotonicityNot monotonic
2023-06-19T10:34:44.558836image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3989
71.7%
1 213
 
3.8%
2 133
 
2.4%
3 87
 
1.6%
4 63
 
1.1%
6 52
 
0.9%
7 44
 
0.8%
8 40
 
0.7%
5 38
 
0.7%
10 33
 
0.6%
Other values (61) 394
 
7.1%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 3989
71.7%
1 213
 
3.8%
2 133
 
2.4%
3 87
 
1.6%
4 63
 
1.1%
ValueCountFrequency (%)
93 1
< 0.1%
90 1
< 0.1%
87 1
< 0.1%
85 1
< 0.1%
81 1
< 0.1%

Str
Real number (ℝ)

MISSING  ZEROS 

Distinct25
Distinct (%)0.5%
Missing480
Missing (%)8.6%
Infinite0
Infinite (%)0.0%
Mean0.2546205269
Minimum0
Maximum52
Zeros4686
Zeros (%)84.2%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:44.706791image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum52
Range52
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.700787395
Coefficient of variation (CV)6.67969474
Kurtosis382.8881796
Mean0.2546205269
Median Absolute Deviation (MAD)0
Skewness16.49702074
Sum1295
Variance2.892677762
MonotonicityNot monotonic
2023-06-19T10:34:44.851825image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 4686
84.2%
1 202
 
3.6%
2 68
 
1.2%
3 41
 
0.7%
4 22
 
0.4%
5 15
 
0.3%
8 10
 
0.2%
7 7
 
0.1%
6 6
 
0.1%
11 5
 
0.1%
Other values (15) 24
 
0.4%
(Missing) 480
 
8.6%
ValueCountFrequency (%)
0 4686
84.2%
1 202
 
3.6%
2 68
 
1.2%
3 41
 
0.7%
4 22
 
0.4%
ValueCountFrequency (%)
52 1
< 0.1%
45 1
< 0.1%
43 1
< 0.1%
29 1
< 0.1%
22 1
< 0.1%

Mn/MP
Real number (ℝ)

Distinct90
Distinct (%)1.6%
Missing37
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean62.7144149
Minimum1
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:45.016682image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13
Q146
median70
Q384
95-th percentile90
Maximum90
Range89
Interquartile range (IQR)38

Descriptive statistics

Standard deviation24.58635385
Coefficient of variation (CV)0.3920367253
Kurtosis-0.4732513321
Mean62.7144149
Median Absolute Deviation (MAD)17
Skewness-0.7764452855
Sum346748
Variance604.4887954
MonotonicityNot monotonic
2023-06-19T10:34:45.186892image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90 563
 
10.1%
89 162
 
2.9%
87 156
 
2.8%
88 154
 
2.8%
86 147
 
2.6%
85 140
 
2.5%
84 131
 
2.4%
83 116
 
2.1%
80 109
 
2.0%
82 106
 
1.9%
Other values (80) 3745
67.3%
ValueCountFrequency (%)
1 34
0.6%
2 12
 
0.2%
3 26
0.5%
4 12
 
0.2%
5 18
0.3%
ValueCountFrequency (%)
90 563
10.1%
89 162
 
2.9%
88 154
 
2.8%
87 156
 
2.8%
86 147
 
2.6%

Min%
Real number (ℝ)

Distinct968
Distinct (%)17.5%
Missing35
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean38.23973965
Minimum0
Maximum100
Zeros36
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:45.396571image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.7
Q110.3
median33.5
Q362.5
95-th percentile91.15
Maximum100
Range100
Interquartile range (IQR)52.2

Descriptive statistics

Standard deviation30.00286335
Coefficient of variation (CV)0.7845990487
Kurtosis-1.102071699
Mean38.23973965
Median Absolute Deviation (MAD)25.6
Skewness0.3941623678
Sum211504
Variance900.1718093
MonotonicityNot monotonic
2023-06-19T10:34:45.716789image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.6 73
 
1.3%
100 49
 
0.9%
0.1 48
 
0.9%
2.9 41
 
0.7%
0.6 40
 
0.7%
0.2 37
 
0.7%
0.4 36
 
0.6%
0 36
 
0.6%
0.3 32
 
0.6%
1.3 31
 
0.6%
Other values (958) 5108
91.8%
(Missing) 35
 
0.6%
ValueCountFrequency (%)
0 36
0.6%
0.1 48
0.9%
0.2 37
0.7%
0.3 32
0.6%
0.4 36
0.6%
ValueCountFrequency (%)
100 49
0.9%
99.8 3
 
0.1%
99.7 3
 
0.1%
99.6 2
 
< 0.1%
99.5 3
 
0.1%

Mn/Start
Real number (ℝ)

Distinct67
Distinct (%)1.4%
Missing604
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean82.04171705
Minimum7
Maximum113
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:45.911979image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile64
Q178
median85
Q389
95-th percentile90
Maximum113
Range106
Interquartile range (IQR)11

Descriptive statistics

Standard deviation8.971211595
Coefficient of variation (CV)0.1093493886
Kurtosis4.736526276
Mean82.04171705
Median Absolute Deviation (MAD)5
Skewness-1.777606428
Sum407091
Variance80.48263749
MonotonicityNot monotonic
2023-06-19T10:34:46.076710image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90 849
15.3%
88 337
 
6.1%
89 317
 
5.7%
87 297
 
5.3%
86 287
 
5.2%
85 269
 
4.8%
84 257
 
4.6%
83 227
 
4.1%
82 213
 
3.8%
81 190
 
3.4%
Other values (57) 1719
30.9%
(Missing) 604
 
10.9%
ValueCountFrequency (%)
7 1
< 0.1%
19 1
< 0.1%
24 1
< 0.1%
29 1
< 0.1%
30 1
< 0.1%
ValueCountFrequency (%)
113 1
 
< 0.1%
101 1
 
< 0.1%
100 1
 
< 0.1%
98 4
0.1%
97 4
0.1%

Compl
Real number (ℝ)

Distinct47
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.46514553
Minimum0
Maximum46
Zeros1087
Zeros (%)19.5%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:46.236598image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q317
95-th percentile32
Maximum46
Range46
Interquartile range (IQR)16

Descriptive statistics

Standard deviation10.74544755
Coefficient of variation (CV)1.02678434
Kurtosis-0.1233891328
Mean10.46514553
Median Absolute Deviation (MAD)7
Skewness0.9398823074
Sum58249
Variance115.464643
MonotonicityNot monotonic
2023-06-19T10:34:46.396464image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0 1087
19.5%
1 486
 
8.7%
2 312
 
5.6%
3 236
 
4.2%
4 227
 
4.1%
5 211
 
3.8%
9 170
 
3.1%
7 169
 
3.0%
6 168
 
3.0%
8 156
 
2.8%
Other values (37) 2344
42.1%
ValueCountFrequency (%)
0 1087
19.5%
1 486
8.7%
2 312
 
5.6%
3 236
 
4.2%
4 227
 
4.1%
ValueCountFrequency (%)
46 5
0.1%
45 6
0.1%
44 2
 
< 0.1%
43 3
 
0.1%
42 9
0.2%

Subs
Real number (ℝ)

Distinct29
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.743801653
Minimum0
Maximum28
Zeros1298
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:46.546750image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q36
95-th percentile13
Maximum28
Range28
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.2204027
Coefficient of variation (CV)1.127304032
Kurtosis2.538703478
Mean3.743801653
Median Absolute Deviation (MAD)2
Skewness1.561316897
Sum20838
Variance17.81179895
MonotonicityNot monotonic
2023-06-19T10:34:46.681964image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 1298
23.3%
1 997
17.9%
2 640
11.5%
3 512
 
9.2%
4 378
 
6.8%
5 321
 
5.8%
6 250
 
4.5%
7 218
 
3.9%
8 185
 
3.3%
9 147
 
2.6%
Other values (19) 620
11.1%
ValueCountFrequency (%)
0 1298
23.3%
1 997
17.9%
2 640
11.5%
3 512
 
9.2%
4 378
 
6.8%
ValueCountFrequency (%)
28 1
< 0.1%
27 1
< 0.1%
26 1
< 0.1%
25 1
< 0.1%
24 1
< 0.1%

Mn/Sub
Real number (ℝ)

MISSING  ZEROS 

Distinct83
Distinct (%)1.9%
Missing1298
Missing (%)23.3%
Infinite0
Infinite (%)0.0%
Mean21.10871603
Minimum0
Maximum86
Zeros62
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:46.854363image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q114
median19
Q326
95-th percentile45
Maximum86
Range86
Interquartile range (IQR)12

Descriptive statistics

Standard deviation12.12180927
Coefficient of variation (CV)0.5742561158
Kurtosis3.385769573
Mean21.10871603
Median Absolute Deviation (MAD)6
Skewness1.308130068
Sum90092
Variance146.9382601
MonotonicityNot monotonic
2023-06-19T10:34:47.016893image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17 217
 
3.9%
19 204
 
3.7%
18 195
 
3.5%
21 182
 
3.3%
16 179
 
3.2%
15 177
 
3.2%
20 167
 
3.0%
23 161
 
2.9%
24 161
 
2.9%
14 150
 
2.7%
Other values (73) 2475
44.5%
(Missing) 1298
23.3%
ValueCountFrequency (%)
0 62
1.1%
1 44
0.8%
2 52
0.9%
3 40
0.7%
4 38
0.7%
ValueCountFrequency (%)
86 1
 
< 0.1%
84 2
< 0.1%
83 4
0.1%
82 1
 
< 0.1%
78 3
0.1%

unSub
Real number (ℝ)

Distinct44
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.883758534
Minimum0
Maximum45
Zeros1076
Zeros (%)19.3%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:47.176852image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q39
95-th percentile20
Maximum45
Range45
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.706553523
Coefficient of variation (CV)1.139841733
Kurtosis3.847533069
Mean5.883758534
Median Absolute Deviation (MAD)3
Skewness1.810174589
Sum32749
Variance44.97786016
MonotonicityNot monotonic
2023-06-19T10:34:47.326508image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0 1076
19.3%
1 669
12.0%
2 538
9.7%
3 433
 
7.8%
4 373
 
6.7%
5 322
 
5.8%
6 293
 
5.3%
7 266
 
4.8%
8 191
 
3.4%
9 188
 
3.4%
Other values (34) 1217
21.9%
ValueCountFrequency (%)
0 1076
19.3%
1 669
12.0%
2 538
9.7%
3 433
7.8%
4 373
 
6.7%
ValueCountFrequency (%)
45 1
 
< 0.1%
43 1
 
< 0.1%
42 1
 
< 0.1%
41 3
0.1%
40 1
 
< 0.1%

PPM
Real number (ℝ)

Distinct255
Distinct (%)4.6%
Missing35
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean1.315984451
Minimum0
Maximum3
Zeros313
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:47.501951image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.94
median1.3
Q31.67
95-th percentile2.54
Maximum3
Range3
Interquartile range (IQR)0.73

Descriptive statistics

Standard deviation0.6593185855
Coefficient of variation (CV)0.5010078842
Kurtosis0.3484489866
Mean1.315984451
Median Absolute Deviation (MAD)0.37
Skewness0.3012563363
Sum7278.71
Variance0.4347009972
MonotonicityNot monotonic
2023-06-19T10:34:47.676837image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 323
 
5.8%
0 313
 
5.6%
3 191
 
3.4%
2 157
 
2.8%
1.5 154
 
2.8%
1.33 96
 
1.7%
0.5 88
 
1.6%
1.25 62
 
1.1%
1.17 61
 
1.1%
1.38 61
 
1.1%
Other values (245) 4025
72.3%
ValueCountFrequency (%)
0 313
5.6%
0.08 1
 
< 0.1%
0.09 1
 
< 0.1%
0.1 1
 
< 0.1%
0.13 1
 
< 0.1%
ValueCountFrequency (%)
3 191
3.4%
2.89 1
 
< 0.1%
2.88 2
 
< 0.1%
2.86 1
 
< 0.1%
2.85 1
 
< 0.1%

onG
Real number (ℝ)

Distinct103
Distinct (%)1.9%
Missing35
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean19.81522329
Minimum0
Maximum119
Zeros497
Zeros (%)8.9%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:47.856926image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median15
Q331
95-th percentile55
Maximum119
Range119
Interquartile range (IQR)27

Descriptive statistics

Standard deviation18.53092405
Coefficient of variation (CV)0.9351862344
Kurtosis1.324025625
Mean19.81522329
Median Absolute Deviation (MAD)12
Skewness1.153861047
Sum109598
Variance343.3951461
MonotonicityNot monotonic
2023-06-19T10:34:48.026551image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 497
 
8.9%
1 350
 
6.3%
2 241
 
4.3%
3 183
 
3.3%
4 160
 
2.9%
5 153
 
2.7%
6 149
 
2.7%
8 131
 
2.4%
16 128
 
2.3%
12 126
 
2.3%
Other values (93) 3413
61.3%
ValueCountFrequency (%)
0 497
8.9%
1 350
6.3%
2 241
4.3%
3 183
 
3.3%
4 160
 
2.9%
ValueCountFrequency (%)
119 1
< 0.1%
116 1
< 0.1%
113 1
< 0.1%
106 1
< 0.1%
103 2
< 0.1%

onGA
Real number (ℝ)

Distinct80
Distinct (%)1.4%
Missing35
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean19.72608931
Minimum0
Maximum81
Zeros361
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:48.325992image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median17
Q331
95-th percentile50
Maximum81
Range81
Interquartile range (IQR)26

Descriptive statistics

Standard deviation16.28200854
Coefficient of variation (CV)0.8254047865
Kurtosis-0.1600814232
Mean19.72608931
Median Absolute Deviation (MAD)12
Skewness0.7346678731
Sum109105
Variance265.103802
MonotonicityNot monotonic
2023-06-19T10:34:48.516775image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 361
 
6.5%
1 299
 
5.4%
2 249
 
4.5%
4 180
 
3.2%
5 174
 
3.1%
3 165
 
3.0%
6 141
 
2.5%
13 134
 
2.4%
15 126
 
2.3%
17 124
 
2.2%
Other values (70) 3578
64.3%
ValueCountFrequency (%)
0 361
6.5%
1 299
5.4%
2 249
4.5%
3 165
3.0%
4 180
3.2%
ValueCountFrequency (%)
81 2
< 0.1%
80 1
< 0.1%
78 1
< 0.1%
76 2
< 0.1%
75 2
< 0.1%

+/-
Real number (ℝ)

Distinct119
Distinct (%)2.2%
Missing35
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean0.08913397216
Minimum-52
Maximum90
Zeros536
Zeros (%)9.6%
Negative2854
Negative (%)51.3%
Memory size43.6 KiB
2023-06-19T10:34:48.726320image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-52
5-th percentile-19
Q1-5
median-1
Q34
95-th percentile22
Maximum90
Range142
Interquartile range (IQR)9

Descriptive statistics

Standard deviation13.09227964
Coefficient of variation (CV)146.8831616
Kurtosis6.294990438
Mean0.08913397216
Median Absolute Deviation (MAD)5
Skewness1.366754432
Sum493
Variance171.4077861
MonotonicityNot monotonic
2023-06-19T10:34:48.926250image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 536
 
9.6%
-1 428
 
7.7%
1 356
 
6.4%
-2 339
 
6.1%
-3 288
 
5.2%
-4 214
 
3.8%
2 211
 
3.8%
-5 208
 
3.7%
3 171
 
3.1%
-8 142
 
2.6%
Other values (109) 2638
47.4%
ValueCountFrequency (%)
-52 1
< 0.1%
-45 2
< 0.1%
-42 2
< 0.1%
-41 2
< 0.1%
-40 2
< 0.1%
ValueCountFrequency (%)
90 1
< 0.1%
86 2
< 0.1%
82 1
< 0.1%
76 2
< 0.1%
73 2
< 0.1%

+/-90
Real number (ℝ)

Distinct630
Distinct (%)11.4%
Missing37
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean-0.1964984627
Minimum-90
Maximum90
Zeros534
Zeros (%)9.6%
Negative2854
Negative (%)51.3%
Memory size43.6 KiB
2023-06-19T10:34:49.186692image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-90
5-th percentile-2
Q1-0.67
median-0.07
Q30.39
95-th percentile1.73
Maximum90
Range180
Interquartile range (IQR)1.06

Descriptive statistics

Standard deviation3.251132559
Coefficient of variation (CV)-16.54533331
Kurtosis447.3797641
Mean-0.1964984627
Median Absolute Deviation (MAD)0.54
Skewness-1.427674941
Sum-1086.44
Variance10.56986292
MonotonicityNot monotonic
2023-06-19T10:34:49.371662image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 534
 
9.6%
-1 41
 
0.7%
-0.5 40
 
0.7%
-0.4 40
 
0.7%
-0.2 36
 
0.6%
-0.15 35
 
0.6%
-0.18 34
 
0.6%
0.38 33
 
0.6%
-2 33
 
0.6%
-0.09 32
 
0.6%
Other values (620) 4671
83.9%
(Missing) 37
 
0.7%
ValueCountFrequency (%)
-90 2
 
< 0.1%
-45 2
 
< 0.1%
-30 5
0.1%
-22.5 2
 
< 0.1%
-20 2
 
< 0.1%
ValueCountFrequency (%)
90 2
 
< 0.1%
30 1
 
< 0.1%
22.5 1
 
< 0.1%
20 1
 
< 0.1%
18 5
0.1%

On-Off
Real number (ℝ)

Distinct714
Distinct (%)13.0%
Missing86
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean-0.1307481752
Minimum-91.79
Maximum90.24
Zeros34
Zeros (%)0.6%
Negative2812
Negative (%)50.5%
Memory size43.6 KiB
2023-06-19T10:34:49.546843image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-91.79
5-th percentile-2.0605
Q1-0.58
median-0.03
Q30.52
95-th percentile1.51
Maximum90.24
Range182.03
Interquartile range (IQR)1.1

Descriptive statistics

Standard deviation3.311538593
Coefficient of variation (CV)-25.3276085
Kurtosis429.3322298
Mean-0.1307481752
Median Absolute Deviation (MAD)0.55
Skewness-1.587823017
Sum-716.5
Variance10.96628785
MonotonicityNot monotonic
2023-06-19T10:34:49.716637image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.02 41
 
0.7%
0.26 38
 
0.7%
-0.37 37
 
0.7%
-0.05 37
 
0.7%
-0.06 36
 
0.6%
0.14 36
 
0.6%
0.27 35
 
0.6%
-0.03 35
 
0.6%
0 34
 
0.6%
0.36 33
 
0.6%
Other values (704) 5118
92.0%
(Missing) 86
 
1.5%
ValueCountFrequency (%)
-91.79 1
< 0.1%
-90.05 1
< 0.1%
-46.32 1
< 0.1%
-44.59 1
< 0.1%
-32.15 1
< 0.1%
ValueCountFrequency (%)
90.24 1
< 0.1%
89.53 1
< 0.1%
32.02 1
< 0.1%
30.94 1
< 0.1%
22.26 1
< 0.1%

onxG
Real number (ℝ)

MISSING  ZEROS 

Distinct669
Distinct (%)13.2%
Missing507
Missing (%)9.1%
Infinite0
Infinite (%)0.0%
Mean20.062542
Minimum0
Maximum92.6
Zeros104
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:49.893724image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3
Q14.9
median16.3
Q331.85
95-th percentile51.4
Maximum92.6
Range92.6
Interquartile range (IQR)26.95

Descriptive statistics

Standard deviation17.29610504
Coefficient of variation (CV)0.8621093495
Kurtosis0.2618053445
Mean20.062542
Median Absolute Deviation (MAD)12.9
Skewness0.8602651117
Sum101496.4
Variance299.1552494
MonotonicityNot monotonic
2023-06-19T10:34:50.055966image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 104
 
1.9%
0.1 70
 
1.3%
0.2 67
 
1.2%
0.3 48
 
0.9%
0.5 44
 
0.8%
0.7 42
 
0.8%
0.4 40
 
0.7%
1.1 39
 
0.7%
0.8 38
 
0.7%
1 36
 
0.6%
Other values (659) 4531
81.4%
(Missing) 507
 
9.1%
ValueCountFrequency (%)
0 104
1.9%
0.1 70
1.3%
0.2 67
1.2%
0.3 48
0.9%
0.4 40
 
0.7%
ValueCountFrequency (%)
92.6 1
< 0.1%
91.7 1
< 0.1%
90.4 2
< 0.1%
90 1
< 0.1%
89.7 1
< 0.1%

onxGA
Real number (ℝ)

MISSING  ZEROS 

Distinct616
Distinct (%)12.2%
Missing507
Missing (%)9.1%
Infinite0
Infinite (%)0.0%
Mean19.9624827
Minimum0
Maximum79.9
Zeros101
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size43.6 KiB
2023-06-19T10:34:50.236534image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4
Q15.5
median17.4
Q331.5
95-th percentile49.3
Maximum79.9
Range79.9
Interquartile range (IQR)26

Descriptive statistics

Standard deviation15.99174695
Coefficient of variation (CV)0.8010900843
Kurtosis-0.5128412868
Mean19.9624827
Median Absolute Deviation (MAD)12.8
Skewness0.5977132083
Sum100990.2
Variance255.7359706
MonotonicityNot monotonic
2023-06-19T10:34:50.426839image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 101
 
1.8%
0.2 61
 
1.1%
0.1 51
 
0.9%
0.5 40
 
0.7%
0.6 38
 
0.7%
0.8 36
 
0.6%
0.3 35
 
0.6%
0.9 34
 
0.6%
0.7 33
 
0.6%
1.1 32
 
0.6%
Other values (606) 4598
82.6%
(Missing) 507
 
9.1%
ValueCountFrequency (%)
0 101
1.8%
0.1 51
0.9%
0.2 61
1.1%
0.3 35
 
0.6%
0.4 26
 
0.5%
ValueCountFrequency (%)
79.9 1
< 0.1%
73.9 1
< 0.1%
73.3 1
< 0.1%
71.3 2
< 0.1%
71 1
< 0.1%

xG+/-
Real number (ℝ)

MISSING  ZEROS 

Distinct589
Distinct (%)11.6%
Missing507
Missing (%)9.1%
Infinite0
Infinite (%)0.0%
Mean0.1007906701
Minimum-39.7
Maximum65.2
Zeros135
Zeros (%)2.4%
Negative2807
Negative (%)50.4%
Memory size43.6 KiB
2023-06-19T10:34:50.625922image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-39.7
5-th percentile-14.5
Q1-4.3
median-0.5
Q32.6
95-th percentile18.2
Maximum65.2
Range104.9
Interquartile range (IQR)6.9

Descriptive statistics

Standard deviation10.12253355
Coefficient of variation (CV)100.4312556
Kurtosis6.675287898
Mean0.1007906701
Median Absolute Deviation (MAD)3.5
Skewness1.53334243
Sum509.9
Variance102.4656854
MonotonicityNot monotonic
2023-06-19T10:34:50.816702image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 135
 
2.4%
0.1 78
 
1.4%
-0.1 71
 
1.3%
-0.3 69
 
1.2%
-0.2 67
 
1.2%
-0.5 63
 
1.1%
-0.4 59
 
1.1%
-0.9 58
 
1.0%
0.2 57
 
1.0%
-0.8 56
 
1.0%
Other values (579) 4346
78.1%
(Missing) 507
 
9.1%
ValueCountFrequency (%)
-39.7 1
< 0.1%
-35.5 1
< 0.1%
-32.8 1
< 0.1%
-31.9 1
< 0.1%
-31.1 1
< 0.1%
ValueCountFrequency (%)
65.2 1
< 0.1%
64.6 2
< 0.1%
63.7 1
< 0.1%
60.7 1
< 0.1%
59.6 1
< 0.1%

xG+/-90
Real number (ℝ)

MISSING  ZEROS 

Distinct561
Distinct (%)11.1%
Missing507
Missing (%)9.1%
Infinite0
Infinite (%)0.0%
Mean-0.08448309943
Minimum-36.47
Maximum65.12
Zeros62
Zeros (%)1.1%
Negative2846
Negative (%)51.1%
Memory size43.6 KiB
2023-06-19T10:34:51.031792image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-36.47
5-th percentile-1.35
Q1-0.5
median-0.09
Q30.32
95-th percentile1.38
Maximum65.12
Range101.59
Interquartile range (IQR)0.82

Descriptive statistics

Standard deviation1.764744065
Coefficient of variation (CV)-20.88872303
Kurtosis464.415445
Mean-0.08448309943
Median Absolute Deviation (MAD)0.41
Skewness5.434601821
Sum-427.4
Variance3.114321614
MonotonicityNot monotonic
2023-06-19T10:34:51.331619image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62
 
1.1%
0.16 42
 
0.8%
-0.06 42
 
0.8%
-0.25 41
 
0.7%
-0.09 41
 
0.7%
-0.08 40
 
0.7%
-0.05 40
 
0.7%
-0.17 39
 
0.7%
-0.03 39
 
0.7%
-0.18 39
 
0.7%
Other values (551) 4634
83.3%
(Missing) 507
 
9.1%
ValueCountFrequency (%)
-36.47 1
< 0.1%
-35.48 1
< 0.1%
-29.19 1
< 0.1%
-20.49 1
< 0.1%
-17.17 1
< 0.1%
ValueCountFrequency (%)
65.12 1
< 0.1%
18.65 1
< 0.1%
14.91 1
< 0.1%
13.55 1
< 0.1%
12.18 1
< 0.1%

On-Off.1
Real number (ℝ)

Distinct539
Distinct (%)10.7%
Missing549
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean-0.04308351605
Minimum-36.51
Maximum63.41
Zeros53
Zeros (%)1.0%
Negative2508
Negative (%)45.1%
Memory size43.6 KiB
2023-06-19T10:34:51.516979image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-36.51
5-th percentile-1.23
Q1-0.37
median0
Q30.35
95-th percentile1.05
Maximum63.41
Range99.92
Interquartile range (IQR)0.72

Descriptive statistics

Standard deviation1.736498475
Coefficient of variation (CV)-40.30540295
Kurtosis465.1479515
Mean-0.04308351605
Median Absolute Deviation (MAD)0.36
Skewness4.57926826
Sum-216.15
Variance3.015426953
MonotonicityNot monotonic
2023-06-19T10:34:51.711910image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.03 54
 
1.0%
0 53
 
1.0%
0.18 49
 
0.9%
-0.09 48
 
0.9%
-0.03 48
 
0.9%
-0.07 46
 
0.8%
0.15 45
 
0.8%
-0.11 45
 
0.8%
0.08 45
 
0.8%
-0.17 45
 
0.8%
Other values (529) 4539
81.5%
(Missing) 549
 
9.9%
ValueCountFrequency (%)
-36.51 1
< 0.1%
-36.05 1
< 0.1%
-30.59 1
< 0.1%
-20.43 1
< 0.1%
-16.76 1
< 0.1%
ValueCountFrequency (%)
63.41 1
< 0.1%
19.33 1
< 0.1%
13.85 1
< 0.1%
13.22 1
< 0.1%
12.78 1
< 0.1%